AI Model Changelog

Initial release of Nex-N2-Mini, the smaller model in the Nex-N2 series with 262K context window and open-source weights.

Initial release of Hy3, a 295B-parameter MoE model with 21B active parameters. Follows Hy3 Preview from April with improvements to post-training pipeline, hallucination reduction, and multi-turn context retention.

Initial release of Hy3, a 295B-parameter MoE model with configurable reasoning modes and 256K context window, available free through OpenRouter until July 21, 2026.

M2.5 is trained specifically for agent-native execution using reinforcement learning on agentic scaffolds, with emphasis on tool-calling, multi-step task decomposition, and long-horizon coding tasks.

First release of Nemotron-Labs-TwoTower, a block-wise diffusion model built on the Nemotron-3-Nano-30B backbone. Uses dual-tower architecture to generate blocks of tokens in parallel, claiming 2.42× speedup while retaining 98.7% of baseline quality.

Updated version of the original Leanstral model with improved capabilities for Lean 4 proof assistance and code generation. Built as part of the Mistral Small 4 family with mixture-of-experts architecture.

Leanstral 1.5 delivers major performance upgrades over the original Leanstral, saturating miniF2F at 100%, solving 587/672 PutnamBench problems, and achieving state-of-the-art results on FATE-H (87%) and FATE-X (34%) while reducing cost to $4 per problem versus $300+ for competitors.

Initial release of Portugal's first national AI model, built on EuroLLM-9B foundation with European Portuguese datasets, multimodal capabilities, and expanded context window.

Redeployed version with enhanced safety classifiers that automatically block cybersecurity tasks and revert to Opus 4.8. Available with restricted usage limits after month-long government-mandated takedown.

New lightweight image generation model optimized for speed and cost, generating 1K images in approximately 4 seconds while maintaining character consistency and editing capabilities of the Nano Banana family.

Claude Sonnet 5 is Anthropic's first Sonnet model of their latest generation, delivering near-Opus intelligence at Sonnet pricing. Key improvements include stronger multi-step reasoning, improved code navigation, and enhanced agentic reliability for production workflows.

Google DeepMind released Nano Banana 2 Lite as the fastest, most cost-efficient image model in the Nano Banana family, designed for high-volume developer workflows. It delivers 4-second text-to-image generation at $0.034 per 1K-resolution image, replacing the original Nano Banana model.

Google released Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite), positioned as their fastest and cheapest image generation model optimized for velocity and scale.

Introduces 1M token context, 128K max output, removes sampling parameters (temperature, top_p, top_k), and implements new tokenizer generating ~30% more tokens than Sonnet 4.6 for English text.

Nano Banana 2 Lite replaces the original Nano Banana as Google's fastest and cheapest image generator, generating images in 4 seconds at under $0.04 per thousand images. The model prioritizes speed and cost over quality for high-volume developer pipelines.

Major release introducing hybrid attention architecture with 90% KV cache reduction, 1M token context window, three reasoning modes, and trained on 32T+ tokens. Includes both Pro (1.6T params) and Flash (284B params) variants.

Initial release of Base44's custom LLM trained specifically for vibe coding and app creation workflows, designed to optimize latency, cost, and efficiency compared to general-purpose frontier models.

Initial release of Ornith-1.0, an MIT-licensed agentic coding model built on Gemma 4 and Qwen 3.5, available in 9B, 31B, 35B MoE, and 397B MoE variants.

Initial release of Halo deepfake detection model with on-device processing capabilities for desktop video calls, launched in partnership with Qualcomm.

GLM-5.2 is an open-weight model that researchers claim matches Anthropic's Mythos on certain cybersecurity and bug-finding benchmarks, though it lags on general tasks.

GPT-5.6 Sol introduces 'max' reasoning effort for deep reasoning tasks and enhanced cybersecurity capabilities. The model includes strengthened safeguards against jailbreaks after 700,000 GPU hours of adversarial testing.

LFM2.5-230M is a new compact model in the LFM family, built on LFM2 architecture with extended pre-training and reinforcement learning. It features 230M parameters, tool use capabilities through distillation from LFM2.5-350M, and optimized edge inference performance.

Anthropic's Mythos 5 model received U.S. government approval for limited release to approximately 100 companies and federal agencies, marking an unusual government-mediated commercial AI deployment.

Initial release of Un0, the first image generation model running on simulated oscillator-based computing architecture, demonstrating performance comparable to conventional diffusion models.

First release of Un-0, an image generation model running on simulated oscillator hardware. Produces results comparable to diffusion models like Stable Diffusion but runs on software simulation of non-existent hardware.

DeepSeek-V4-Fable is a distilled variant of Claude-5-Fable built on DeepSeek-V4-Flash, trained specifically for offensive security research using 80,000 CTF trajectories and GRPO reinforcement learning.

Initial release of Qwen-AgentWorld-35B-A3B, a language world model trained through CPT, SFT, and RL stages specifically for agentic environment simulation across seven unified domains.

Initial release of Fugu Ultra, the higher-performance model in Sakana AI's Fugu family using learned multi-agent orchestration rather than a monolithic architecture.

Third behavioral update to GPT-5.5 Instant focused on conversational quality, with improved intent recognition, constraint handling, and recommendation capabilities.

OCR 4 adds bounding boxes, block classification, and inline confidence scores to document extraction. The model expands language coverage to 170 languages and introduces single-container self-hosted deployment.

Updated version achieves 85.6% on CyberGym benchmark, surpassing Anthropic's Mythos 5. Released alongside expanded international partnerships.

Initial release of Unlimited-OCR, a 3B parameter OCR model building on Deepseek-OCR with support for single-page and multi-page document parsing.

Initial release of Krea 2 family with Raw (base) and Turbo (post-trained) checkpoints. Turbo variant includes fine-tuning and distillation for faster 8-step generation.

Initial release of Laguna M.1, a 225B parameter MoE model with 23B active parameters designed for agentic coding tasks, featuring 256 experts and 262K token context window.

First release of Mistral's code-specialized embedding model with 8192 token context, flexible dimensions, and optimized performance on code retrieval benchmarks including SWE-Bench Lite.

Mistral Medium 3 is a new model introduced alongside Le Chat Enterprise, positioned between Mistral Small and Large tiers. No technical specifications or benchmarks were disclosed.

Initial release of Mistral OCR API with multimodal document understanding at $1 per 1,000 pages. Claims state-of-the-art accuracy on internal benchmarks across math, tables, and multilingual content.

Pixtral Large is Mistral's new multimodal model, significantly more powerful than Pixtral 12B for document and image understanding. Powers le Chat's document analysis capabilities.

Gemini 3.1 Flash Image (Nano Banana 2) introduces image generation and editing capabilities with claimed Pro-level quality at Flash model speed and cost efficiency.

Initial release of Voxtral TTS, Mistral's first text-to-speech model with 4B parameters supporting 9 languages and voice cloning from minimal audio samples.

Initial release of Nano Banana Pro extends the original Nano Banana model with significantly improved multimodal reasoning, real-world grounding, and professional-grade image generation capabilities including 2K/4K outputs.

First release of Leanstral, a specialized model for Lean 4 proof assistant with 6B active parameters from 120B total. Apache 2.0 licensed with free API endpoint and Mistral Vibe integration.

Devstral 2 powers Mistral Vibe 2.0 with support for custom subagents, multi-choice clarifications, and slash-command skills. API access moved from free to paid pricing.

Mistral OCR 3 achieves 74% win rate over OCR 2 with major improvements in handwriting, forms, scanned documents, and complex tables. Priced at $2 per 1,000 pages ($1 with Batch API).

First major release of Mistral Large 3, a sparse MoE model with 675B total parameters. Includes multimodal capabilities, multilingual support, and ranks #2 on LMArena among OSS non-reasoning models.

GLM-5.2 extends context from 200K to 1M tokens with IndexShare architecture, improves Terminal-Bench 2.1 score from 63.5 to 81.0, and adds effort level control for flexible compute allocation.

NVIDIA quantized Google DeepMind's DiffusionGemma 26B A4B IT from 16-bit to 4-bit (NVFP4) using Model Optimizer, reducing memory requirements while maintaining benchmark performance within 1% of the full-precision baseline.

Initial release of Cohere's North family. First agentic coding model from Cohere featuring sparse MoE architecture with 30B total parameters and 3B active.

Gemma 4 family launches on Amazon Bedrock with three variants: 31B dense model, 26B-A4B mixture-of-experts model, and E2B compact model. All variants support multimodal input and built-in reasoning mode.

Initial release of FastContext-1.0 repository explorer family with 4B and 30B parameter variants trained via supervised fine-tuning and reinforcement learning.

Initial release of M3 with 428B parameters, native multimodal training, and MiniMax Sparse Attention enabling 1M context with 15× decode speedup over M2.

Kimi K2.7 Code builds on K2.6 with substantial improvements in real-world long-horizon coding tasks and 30% reduction in thinking token usage. Added experimental video input support and improved performance across coding and agentic benchmarks.

Third-generation Apple Foundation Model with 20B parameters using sparse activation. First on-device Apple model to exceed 3B parameters and support native multimodal capabilities.

Initial release of DiffusionGemma, a discrete diffusion-based text generation model built on Gemma 4 26B A4B MoE architecture with encoder-decoder design for parallel token generation.

Google releases DiffusionGemma 26B as open-weight model under Apache 2 license, bringing diffusion-based text generation to production with 500+ tokens/second inference speed.

New speech-to-speech translation model with continuous audio generation across 70+ languages, expanding from Google Meet's previous 5-language support to enable 2000+ language combinations without requiring English as intermediary.

Third-generation AFM introduces flash-based inference architecture enabling 20B-parameter on-device model. Uses expert pruning to load subset of parameters into memory while keeping full model in flash storage.

Fable 5 was shut down by government order on June 12, 2026, just 3 days after launch. Expected to return with potential access restrictions after government security review.

Initial release of North Mini Code 1.0, a 30B-parameter sparse MoE model with 3B active parameters, trained specifically for agentic coding tasks with tool-use capabilities.

Fable 5 is the general-use version of Anthropic's Mythos model, designed to assist security defenders. The model was pulled from public access on June 12, 2026 following White House export controls.

First public release of Anthropic's Mythos model line. Introduces extended-execution code generation with up to 12-hour continuous operation on complex specifications.

Initial release of Nex-N2-Pro, a mixture-of-experts model with 17B active parameters from 397B total, featuring 262K context and multimodal capabilities.

Apple's most advanced cloud-based AI model, running on Nvidia GPUs in Google cloud infrastructure with privacy guarantees. Refined using Google Gemini frontier model outputs.

Initial release of Nex-N2-Pro, a 397B parameter MoE model with 17B active parameters and 262K context window, available free via OpenRouter.

Initial release of Nemotron 3 Ultra, a 550B-parameter MoE model with 55B active parameters, hybrid Transformer-Mamba architecture, and 1M context window designed for agentic workflows.

Initial release of Nemotron 3.5 Content Safety, a 4B-parameter multimodal guardrail model fine-tuned from Gemma-3-4B for content moderation with 128K context and 12-language support.

Nemotron 3.5 ASR expands the English-only Nemotron 3 ASR to support 40 language-locales from a single 600M-parameter checkpoint with cache-aware streaming architecture.

First open-weight release from Ideogram featuring 9.3B parameters, trained from scratch with structured JSON prompting, native 2K support, and state-of-the-art text rendering capabilities.

Initial release of Nemotron 3 Ultra featuring hybrid Transformer-Mamba MoE architecture with 550B total parameters, 55B active parameters, and 1M token context window optimized for agentic workloads.

Initial release of Nemotron-3-Ultra, a 550B parameter model trained December 2025-April 2026 with hybrid LatentMoE architecture, 1M token context, and configurable reasoning capabilities.

Nemotron 3.5 adds custom policy enforcement, unified multimodal evaluation, auditable reasoning traces, and releases the training dataset. Built on Gemma 3 4B IT with 128K context window.

First release of Nemotron-3-Ultra, NVIDIA's 550B parameter (55B active) frontier model with hybrid LatentMoE architecture combining Mamba-2, MoE, and Attention layers. Features 1M token context and toggle-able reasoning capabilities.

First open-weight release of Ideogram's text-to-image model with 9.3B parameters, structured JSON prompting, and native 2K resolution support.

Qwen3.7 Plus introduces multimodal capabilities to the Qwen3.7 series with text and image input support, featuring a 1 million token context window at competitive pricing.

First mid-sized Gemma model with native audio support, eliminates multimodal encoders for direct vision and audio processing through LLM backbone. Requires only 16GB RAM for local inference.

Initial release of Bernini-R inference code and model weights with MLLM-based semantic planner and DiT-based renderer architecture. Supports seven task types including text-to-video, video editing, and reference-guided generation.

Gemma 4 12B is a new 12-billion-parameter multimodal model designed for local inference on consumer laptops. Google claims it matches the performance of their 26-billion-parameter mixture-of-experts model while running on devices with 16GB RAM.

Gemma 4 introduces encoder-free architecture in the 12B Unified model, processing all modalities directly through a single decoder-only transformer. The family spans five models from 2.3B to 30.7B parameters with extended context windows up to 256K tokens.

Initial release of MAI-Thinking-1, a 35B parameter reasoning model trained on commercially licensed data without third-party model distillation. Available to select early partners.

Anthropic expands restricted preview to 150 additional organizations across 15+ countries, focusing on critical infrastructure sectors including utilities and healthcare. Public release remains delayed pending safety measures.

Initial release of Cosmos3-Nano, a 16B-parameter omnimodal world model for Physical AI applications with 256K context window and support for generating video, audio, images, and robot actions from multimodal inputs.

Initial release of Mellum2-12B-A2.5B-Thinking, a reasoning-augmented model trained with supervised fine-tuning and reinforcement learning with verifiable rewards on math-heavy data.

Initial release of Microsoft's first advanced reasoning model, trained from scratch on proprietary data without distillation from other models.

Holo3.1 adds mobile automation support, native function-calling, and quantized checkpoints for local inference. AndroidWorld performance improves from 67% to 79.3%, with 2× end-to-end speedup on DGX Spark.

Initial release limited to Project Glasswing partners. Public Mythos-class models planned for release within weeks of June 2, 2026.

Mellum2 expands from code completion to broader text and code tasks with a 12B MoE architecture that activates 2.5B parameters per token. Released under Apache 2.0 license with 2x faster inference than similar-sized models.

First release of Cosmos 3, a unified omni-model that combines video generation, physical reasoning, and action prediction in a single Mixture-of-Transformers architecture, replacing the previous fragmented Cosmos model suite.

M3 introduces MiniMax Sparse Attention to enable 1M-token context at approximately 1/20th the compute cost of previous generation. Native multimodal training on interleaved data with interactive user-simulator tuning.

Initial GGUF release of Step-3.7-Flash with seven quantization variants from BF16 (394GB) to IQ3_XXS (76GB), all optimized for local deployment on consumer hardware with 128GB memory.

Initial release of Cosmos 3, NVIDIA's omnimodal world foundation model platform for Physical AI, featuring 64B-parameter variants with Mixture-of-Transformers architecture supporting video, image, audio, and robot action generation.

Initial release of Cosmos3-Super, a 64B parameter omnimodal world model using Mixture-of-Transformers architecture for Physical AI applications across robotics, autonomous vehicles, and industrial automation.

Initial release of Cosmos3-Super-Text2Image as part of NVIDIA's Cosmos3 omnimodal world model collection, featuring 64B parameters and Mixture-of-Transformers architecture for Physical AI applications.

Opus 4.8 shows substantially lower rates of misaligned behavior compared to 4.7, with approximately 4x improvement in catching code flaws. Fast mode API pricing reduced by 3x.

Initial release of Step-3.7-Flash, a 198B-parameter sparse MoE vision-language model with 256K context window, three reasoning levels, and production-focused architecture delivering 400 tokens/sec.

SDK adds support for Claude Opus 4-8 model with mid-conversation system blocks and granular output token usage details.

Fast-mode variant of Claude Opus 4.8 offering higher output speed at 2x pricing compared to the standard version.

Major release unifying reasoning, multimodal, and coding capabilities. First Mistral model with configurable reasoning effort parameter and native multimodal support in the Small family.

Mistral OCR 3 introduces major improvements over OCR 2 with claimed 74% win rate on forms, handwriting, scanned documents, and complex tables. Pricing set at $2 per 1,000 pages ($1 with batch API).

Mistral Large 3 is Mistral's first MoE model since Mixtral, featuring 675B total parameters with 41B active. Released with both base and instruction-tuned versions under Apache 2.0, with multimodal image understanding and optimized inference support.

Codestral 25.08 improves code completion with 30% higher acceptance rates, 10% better retention, and 50% fewer runaway generations. Chat mode gains 5% on instruction-following and code benchmarks.

Initial release of Voxtral family with 24B (Small) and 3B (Mini) variants under Apache 2.0. Features 32K context, native multilingual support, and direct function-calling from speech.

New release of Devstral Medium achieving 61.6% on SWE-Bench Verified. Companion release of Devstral Small 1.1 (24B parameters) scores 53.6% and is open-sourced under Apache 2.0.

Initial release of Mistral Saba, a 24B-parameter model specialized for Arabic and South Asian languages including Tamil, designed for regional deployment.

First reasoning model release from Mistral AI with 24B parameters and native multilingual chain-of-thought capabilities. Open-sourced under Apache 2.0 license.

Music v2 adds mid-track genre switching, section-based composition, and targeted editing capabilities. Released 10 months after Music v1.

Initial release of LocateAnything-3B with Parallel Box Decoding architecture, trained on 12M images across natural scenes, robotics, driving, GUI, and document domains.

Initial release of Gemini Omni Flash, the first tier of Google's multimodal video generation model with avatar cloning and physics modeling capabilities.

Initial release of Stable Audio 3 Medium with 2B parameters, supporting variable-length audio generation up to 6+ minutes with sub-2-second inference times on H200 GPU.

Initial release of diffusion language model family trained on 1.3T pretraining tokens and 45B fine-tuning tokens. Supports autoregressive, diffusion, and self-speculation generation modes with up to 6.4× speedup over traditional AR models.

Hy-MT2 is the second major version of Tencent's translation model family. It introduces three model sizes (1.8B, 7B, 30B-A3B MoE) with 33-language support and enhanced instruction-following capabilities.

DeepSeek permanently reduced V4 Pro pricing by 75%, dropping input tokens to $0.003625 per million and output tokens to $0.87 per million. Previously promotional pricing is now permanent.

Hy-MT2 represents a major version release with new 1.8B, 7B, and 30B-A3B model sizes supporting 33 languages, extreme quantization via AngelSlim, and the IFMTBench benchmark for instruction-following evaluation.

Gemini 3.5 Flash now powers Google's AI Mode search, adding support for multimodal inputs including images, video files, and Chrome tabs with improved intent anticipation.

Mistral Medium 3.5 merges instruction-following, reasoning, and coding into a 128B dense model with 256k context. Released as open weights under modified MIT license with configurable reasoning effort and new vision encoder.

Initial release of Command A+ open source model featuring 25B active parameters in a 218B parameter sparse mixture-of-experts architecture with vision, tool use, and reasoning capabilities.

Flagship release of Qwen3.7 series with 1M token context window and agent-first design. Notable improvements in coding and agentic performance over prior Qwen generations with explicit prompt caching support.

Gemini 3.5 Flash rolls out globally across all Google AI subscription tiers with claimed improvements in speed and understanding for agentic and coding tasks.

Initial release of Grok Build 0.1, xAI's first coding-specialized model with 256K context window designed for agentic workflows and CLI integration.

OlmoEarth v1.1 reduces compute costs by up to 3x through token sequence length reduction, collapsing Sentinel-2 resolution bands into single tokens while maintaining similar benchmark performance to v1.

Initial release of Lance, a 3B-parameter unified multimodal model supporting image and video generation, editing, and understanding tasks. Trained from scratch using 128 A100 GPUs with staged multi-task training recipe.

Gemini 3.5 Flash is Google's first model in the 3.5 series, claiming improved agentic and coding capabilities at reduced cost compared to frontier models. Features enhanced safety measures with reasoning checks before responses.

Initial release of Microsoft's first agentic small language model for computer use, trained in 2.5 days on 64 H100s using synthetic data.

Complete architecture rebuild from XLM-RoBERTa to ModernBERT, expanding context from 512 to 32K tokens (64x increase) and adding code retrieval. The 97M model achieves 60.3 on MTEB Multilingual Retrieval (+12.2 over R1), highest in its size class.

Initial release of Qianfan-OCR-Fast, a specialized OCR model with 66K context window and domain-specific training for improved document processing performance.

First release of Gemini Omni family supporting multimodal video generation with conversational editing. Speech and audio editing capabilities withheld pending safety testing.

Initial release of DeepSeek V4 Flash, an efficiency-optimized MoE model with 284B total parameters, 13B active parameters, and 1M-token context window available free through OpenRouter.

Fast-mode variant of Claude Opus 4.7 with identical capabilities but prioritized output speed at 6x premium pricing ($30/$150 per 1M tokens vs standard rates).

Initial release of Perceptron Mk1, a vision-language model specializing in video understanding and spatial annotation with optional reasoning capabilities.

Initial release of Trinity Large Thinking as a free, open source reasoning model with 262K context window and focus on agentic workloads.

Gemma 4 E4B assistant introduces Multi-Token Prediction architecture for speculative decoding, achieving up to 2x inference speedup. Features 4.5B effective parameters with Per-Layer Embeddings optimized for on-device deployment.

Initial release of Ring-2.6-1T, a 1T parameter thinking model with 63B active parameters, featuring adaptive reasoning and 262K context window optimized for agent workflows.

Initial release of EMO, a mixture-of-experts model pretrained for emergent modularity through document-level expert routing constraints.

Initial release of ZAYA1-8B, a post-trained reasoning MoE model with 760M active and 8.4B total parameters achieving frontier-level mathematical performance.

GPT-5.5-Cyber is a variant of GPT-5.5 with relaxed safeguards specifically for vetted cybersecurity teams. The model is trained to be more permissive on security-related tasks compared to the standard GPT-5.5 release.

First OpenAI voice model with GPT-5-class reasoning capabilities, designed for live voice interactions with tool calling and natural conversation flow.

OpenAI released GPT-5.5-Cyber, a version of GPT-5.5 with reduced guardrails for vetted cybersecurity defenders. The model can automate security workflows while blocking credential theft and malware creation.

Google launches Flash Lite variant of Gemini 3.1 at 50% cost reduction with maintained 1M context window and four-level reasoning system.

Initial release of CoBuddy code generation model with 131K context window, native tool calling, and reasoning support, available for free on OpenRouter.

Major release introducing Gemma 4 family with four model sizes (E2B, E4B, 26B A4B MoE, 31B dense), Multi-Token Prediction drafters for 2x speedup, extended context windows up to 256K, enhanced multimodal capabilities, and improved reasoning performance.

Initial release of Multi-Token Prediction assistant model for Gemma 4 26B A4B, enabling up to 2x inference speedup through speculative decoding while maintaining identical output quality.

GPT-5.5 Instant replaced GPT-5.3 Instant as the default ChatGPT model with significant accuracy improvements and more concise response formatting. OpenAI claims 52.5% fewer hallucinations on high-stakes prompts and reduced use of emojis and unnecessary formatting.

Granite Speech 4.1 2B introduces dual-head CTC encoder, frame importance sampling, improved multilingual ASR accuracy, and punctuation/truecasing across all languages. Two new variants add speaker attribution with timestamps and non-autoregressive architecture.

IBM released Granite 4.1 family in 3B, 8B, and 30B sizes under Apache 2.0 license. Unsloth released 21 GGUF quantized variants of the 3B model.

Grok 4.3 introduces a reasoning model with 1 million token context window, multimodal input support, and always-on reasoning capabilities. Tiered pricing applies for requests exceeding 200K total tokens.

Granite 4.1 8B is a new release in IBM's Granite 4.1 family, offering an 8B-parameter dense decoder-only model with enterprise-focused capabilities. Released under Apache 2.0 license with 131K context window and multilingual support.

Granite 4.1 30B introduces enhanced tool-calling, improved instruction following through updated SFT-RL pipeline, and 131K context window. Released under Apache 2.0 license with competitive performance on code and reasoning benchmarks.

First retrained base model since GPT-4.5, co-designed with NVIDIA GB200/GB300 systems. Significant improvements in agentic benchmarks, particularly Terminal-Bench (82.7%) and long-context retrieval (74.0% on MRCR v2).

R2 upgrades architecture from XLM-RoBERTa to ModernBERT, extends context from 512 to 32,768 tokens, expands vocabulary to 262K tokens, and adds Matryoshka dimension reduction support. Performance improves by 11.8 points on MTEB Retrieval.

Mistral Medium 3.5 replaces Medium 3.1 and Magistral with a unified 128B model that combines instruction-following, reasoning, and coding. Introduces configurable reasoning effort and a vision encoder trained from scratch.

Initial release of 13-billion-parameter vintage language model trained exclusively on public domain texts published before 1931.

Initial release of Nemotron-3-Nano-Omni-30B-A3B, a multimodal MoE model with 31B parameters combining video, audio, image, and text understanding with reasoning capabilities.

Initial release of Owl Alpha, OpenRouter's first foundation model designed specifically for agentic workloads with native tool use and 1M+ context window.

Initial release of Nemotron 3 Nano Omni, a 31B parameter (30B A3B) multimodal MoE model supporting video, audio, image, and text with 256K context, reasoning mode, and enterprise-focused capabilities.

Initial release of Nemotron 3 Nano Omni, a 31B-parameter MoE multimodal model with video, audio, image, and text understanding, 256K context window, and dedicated reasoning mode with chain-of-thought capabilities.

Laguna XS.2 introduces a 33B parameter MoE architecture with 3B activated parameters per token, featuring mixed sliding window and global attention layers, native reasoning support, and optimization for local deployment.

Initial release of Nemotron 3 Nano Omni, a multimodal MoE model with 30B total parameters (3B active) combining video, audio, image, and text understanding in a single inference pass with 131K token context.

Initial release of Nemotron 3 Nano Omni, a 30B-parameter multimodal MoE model designed as a perception sub-agent for enterprise systems. Features hybrid Transformer-Mamba architecture with specialized video processing and extended reasoning capabilities.

First omni-modal release in Nemotron 3 line, adding audio and video capabilities to previous vision-language model. Uses new 30B-A3B MoE architecture with hybrid Mamba-Transformer design.

Second-generation XS size model with enhanced tool calling and reasoning capabilities, quantized to fp8 for production efficiency.

MiMo-V2.5 introduces omnimodal capabilities with dedicated vision (729M params) and audio (261M params) encoders built on the MiMo-V2-Flash backbone. The model supports 1M token context and was trained on 48T tokens with agentic RL and multi-teacher distillation.

Google released Gemini Flash Latest as a dynamic router that automatically redirects to the newest Gemini Flash model, featuring 1,048,576 token context and reasoning capabilities.

Initial release of Qwen3.6 Max Preview, a proprietary 1 trillion parameter sparse MoE model with 262K context window and integrated thinking mode for agentic workflows.

Initial release of GPT Mini Latest with 400,000 token context window and auto-redirect to newest GPT Mini family version.

Updated Qwen3.5 Plus with 1M token context window and tiered pricing above 256K tokens.

Qwen3.6 27B introduces video processing capabilities alongside existing text and image support, with a 262K context window and built-in thinking mode for agentic coding and reasoning tasks.

Moonshot AI introduced a router endpoint that automatically redirects to the most current model in the Kimi family, featuring a 262,144 token context window.

Qwen3.6 Flash introduces multimodal support for text, images, and video with a 1M token context window. Features tiered pricing structure with base rates of $0.25/$1.50 per 1M tokens for prompts under 256K tokens.

Google released a dynamic router endpoint that automatically redirects to the latest Gemini Pro model, featuring 1,048,576-token context and reasoning capabilities.

New sparse MoE model with 35B total parameters but only 3B active per token, featuring 262K context window, multimodal support, and integrated reasoning mode.

MiMo-V2.5-Pro introduces 1.02T total parameters (up from 310B in V2.5) with 42B active parameters, extends context to 1M tokens, and adds hybrid attention architecture with sliding window and global attention patterns. The model achieves 99.6% on GSM8K and maintains coherence at extreme context lengths.

Major version release with claimed competitive performance against leading US models. DeepSeek emphasizes improved coding capabilities and domestic chip compatibility.

Major release with 1.6T total parameters, 1M token context window, and substantial efficiency improvements over V3.2. DeepSeek claims near-frontier performance at a fraction of the cost.

GPT-5.5 Pro introduces a 1M+ token context window optimized for complex reasoning tasks, agentic coding, and multi-step workflows with multimodal support.

DeepSeek-V4-Flash is a new 284B-parameter MoE model with 13B activated parameters, featuring hybrid attention architecture that reduces inference costs by 73% at million-token context lengths. Introduces three reasoning effort modes and achieves competitive performance with frontier models on coding and mathematical reasoning.

Initial release of Ling-2.6-1T, a 1 trillion parameter instruct model with 262K context window and fast-thinking architecture designed for cost-efficient agent deployments.

Initial release of Trinity Large Preview, a 400B-parameter sparse MoE model with 13B active parameters per token, featuring up to 512K context window support and optimization for agentic workflows.

Qwen3.6-27B adds extended context to 1M+ tokens, introduces thinking preservation feature, and shows 2-5% improvements in coding agent benchmarks over Qwen3.5-27B. FP8 quantization enables efficient deployment with claimed near-identical performance to full precision.

Qwen3.6-27B is a 27B dense model that claims flagship-level coding performance surpassing the 397B Qwen3.5-397B-A17B. Available at 55.6GB full size or 16.8GB quantized.

Initial preview release of Hy3, Tencent's Mixture-of-Experts model with configurable reasoning modes designed for production agentic workflows.

Initial release of Privacy Filter, a 1.5B-parameter bidirectional token classifier for detecting 8 PII categories with 128K context window and Apache 2.0 license.

Initial preview release of Tencent's Hy3 model featuring 262K context, three-tier reasoning system, and free availability through OpenRouter.

Gemma 4 E2B demonstrated running as a vision-language agent on NVIDIA Jetson Orin Nano Super (8GB), autonomously deciding when to access webcam based on conversational context with no hardcoded triggers.

ChatGPT Images 2.0 adds thinking mode integration, enabling the model to reason about visual tasks, gather contextual data, and generate complex layouts combining text and images with improved aspect ratio control.

Major update to OpenAI's image generation capabilities with significantly improved text rendering and UI element generation accuracy.

Initial release of Pareto Code Router with dynamic model selection based on min_coding_score parameter (0-1 scale) and 200K context window.

Initial release of Ling-2.6-flash with 104B total parameters (7.4B active), featuring 262K context window and optimized for agent applications with fast response times.

Major release upgrading from previous ChatGPT image generation with 2K resolution support, dual-mode generation (Instant/Thinking), improved text rendering, and web-aware context.

Major update to OpenAI's image generation model with significantly improved quality, maximum resolution of 3840x2160 pixels, and pricing at $30 per million output tokens.

GPT-5.4 Image 2 combines GPT-5.4 reasoning capabilities with image generation from GPT Image 2, supporting text, image, and file inputs with a 272K token context window.

Initial release of Qianfan-OCR-Fast, a specialized OCR model with 65K context window and free pricing. Claims performance improvements over Qianfan-OCR.

First release of Kimi K2.6 introduces 1T-parameter MoE architecture with agent swarm capabilities, 256K context, and competitive performance on SWE-Bench and agentic benchmarks.

First open-weight release of Qwen3.6 series, featuring improved agentic coding capabilities, thinking preservation for context retention, and FP8 quantization. Built on community feedback to prioritize stability and real-world utility.

GR00T N1.7 upgrades to Cosmos-Reason2-2B VLM backbone and adds EgoScale pre-training on 20,854 hours of human egocentric video, improving dexterity and generalization over N1.6.

Opus 4.7 introduces significantly more aggressive safety guardrails that automatically detect and block requests related to cybersecurity uses, resulting in a 10-15x increase in reported false positive refusals.

Python SDK v0.96.0 adds Claude Opus 4-7 support, introduces token budgets for cost management, and user profiles for personalized interactions.

Fine-tuned variant of GPT-5.4 specifically built for defensive cybersecurity work with reduced restrictions on security-related tasks. Initial access limited to verified security professionals through Trusted Access for Cyber program.

Major release introducing multi-modal 3D world generation capabilities, replacing video-based outputs with persistent 3D assets. Centered on WorldMirror 2.0, a 1.2B parameter model for reconstruction.

Initial preview release of Gemini 3.1 Flash TTS, Google's first prompt-controlled text-to-speech model that accepts theatrical-style direction for voice characteristics, accents, and delivery style.

Gemini 3.1 Flash TTS introduces audio tags for granular control over vocal style, pace, and delivery through natural language commands. The model achieves an Elo score of 1,211 and includes mandatory SynthID watermarking.

Initial release of Trinity-Large-Thinking, a 400B parameter open-weight reasoning model with 256 mixture-of-experts (13B active per token) optimized for agent tasks. Apache 2.0 licensed, trained on 17 trillion tokens over 33 days on 2,048 Nvidia B300 GPUs.

Anthropic released Mythos, a security-focused AI model designed to identify and exploit zero-day vulnerabilities. The model remains unreleased publicly due to security concerns.

Refreshed version of LFM2-VL-450M with updated LFM2.5-350M backbone. Adds bounding box prediction and function calling capabilities while improving performance across vision and language benchmarks.

GLM-5.1 introduces iterative strategy refinement capabilities enabling hundreds of iterations on complex coding tasks. The model achieves 58.4% on SWE-Bench Pro and 6.1x performance improvements on vector database optimization through autonomous approach revision.

Released HY-Embodied-0.5 suite with MoT-2B (2.2B active parameters, 4B total) and 32B variants. MoT-2B trained on 200B+ tokens of embodied data outperforms similarly-sized competitors on 22 embodied benchmarks.

Mythos is Anthropic's new frontier model, positioned as larger and more intelligent than its Opus models. It is deployed exclusively through Project Glasswing for defensive cybersecurity work with 40+ vetted partner organizations, with claims of identifying thousands of zero-day vulnerabilities during early testing.

Anthropic released Mythos as a limited preview with major cybersecurity capabilities and implications. The model has both offensive and defensive cyber applications.

Amazon Bedrock now enables supervised fine-tuning, reinforcement fine-tuning, and model distillation for Nova 2 Lite. Fine-tuned models deploy on-demand at standard inference pricing without provisioned capacity.

Meta's first major new model after $14.3B infrastructure rebuild. Shifts from open-source Llama strategy to fully proprietary model available only via API to select partners.

Claude Mythos Preview demonstrates unprecedented capability in autonomous vulnerability discovery and exploitation, finding decades-old bugs in OpenBSD, FFmpeg, and FreeBSD. Deployment restricted to 11-partner coalition for defensive cybersecurity use only.

Claude Mythos is Anthropic's specialized model for cybersecurity vulnerability discovery, designed to identify critical flaws in operating systems, browsers, and software. The model shows improvements over Claude Opus 4.6 in reasoning, agent-based capabilities, and coding.

Mythos Preview released as restricted-access model to 40 organizations for defensive security applications. Model demonstrates capability to find tens of thousands of vulnerabilities and autonomously create working exploits across major operating systems.

Initial release of Harrier embedding model. Trained on 2B+ examples with GPT-5 synthetic data. Achieves top ranking on MTEB v2 multilingual benchmark with 131K context window.

Amazon Nova 2 Sonic enables real-time conversational podcast generation with 1M token context window and native support for seven languages through Amazon Bedrock.

Arcee released Trinity Large Thinking, an open-source reasoning model built on a $20M budget. The company claims it is the most capable open-weight model released by a non-Chinese company, with Apache 2.0 licensing and comparable performance to other top open-source models.

Claude Mythos Preview released under restricted access through Project Glasswing. Model demonstrates exceptional cybersecurity research capabilities including discovery of 27-year-old OpenBSD TCP SACK vulnerability and Linux privilege escalation flaws.

GLM-5.1 introduces extended autonomous execution capability, claiming ability to work independently on single tasks for over 8 hours with continuous planning and improvement. Focus on coding capability improvements and engineering-grade output generation.

Gemma 4 E4B adds multimodal capabilities (text, image, audio), extended 128K context window, native reasoning modes, and function-calling support compared to Gemma 3. Achieves 69.4% MMLU Pro with 4.5B effective parameters optimized for mobile and edge deployment.

Initial release of Bonsai 8B 1-bit quantized model. Achieves 14x compression with claimed competitive performance on standard benchmarks. Also released Bonsai 4B and Bonsai 1.7B variants.

Zhipu AI released GLM-5V-Turbo, adding multimodal capabilities to its GLM-5 series. The model generates code from design mockups and video inputs while maintaining text-only coding performance, integrating directly with Claude Code and OpenClaw agents.

Tencent released OmniWeaving, an open-source unified video generation model with reasoning capabilities and compositional video creation. Built on HunyuanVideo-1.5, it supports eight video generation tasks and introduces IntelligentVBench benchmark.

Gemma 4 26B A4B uses Mixture-of-Experts with 3.8B active parameters for efficient inference. Features 256K context window, multimodal input (text/image), native reasoning modes, and function-calling for agentic workflows.

Gemma 4 introduces multimodal support (text, image, video, audio on small models), extended context windows (128K-256K tokens), configurable reasoning modes, and native function calling. Available in four sizes with both dense and MoE architectures.

Gemma 4 introduces four model sizes (2B-31B) with improved reasoning and agentic capabilities. Apache 2.0 licensing replaces previous restrictions. 31B model ranks #3 on Arena AI leaderboard.

NVIDIA released NVFP4-quantized version of Google DeepMind's Gemma 4 31B IT model optimized for consumer GPU inference. Maintains 256K context window and multimodal capabilities with <0.5% performance degradation on reasoning and coding benchmarks.

Google DeepMind introduces Gemma 4 31B with multimodal input (text and images), 256K context window, configurable reasoning mode, and native function calling. Free release under Apache 2.0 license.

Gemma 4 introduces multimodal capabilities (text, image, video, audio on small models), extended 256K context windows, configurable reasoning modes, and hybrid dense/mixture-of-experts architectures. Substantial improvements in coding benchmarks, long-context reasoning, and on-device deployment efficiency compared to Gemma 3.

Gemma 4 introduces multimodal support, 256K context window, Apache 2.0 permissive licensing, and mixture of experts variant. First major version update with explicit focus on enterprise deployment without data usage restrictions.

Gemma 4 introduces multimodal capabilities with native image and audio support, extended 128K context window, built-in reasoning modes with configurable thinking, and hybrid attention architecture combining local and global attention for efficiency.

Gemma 4 introduces multimodal capabilities (text, image, video support), reasoning modes, 256K context windows, and Mixture-of-Experts architecture. The 26B A4B variant uses sparse activation for near-dense-31B performance with 4B-model inference speed.

Gemma 4 31B introduces 256K context window, configurable reasoning mode, and multimodal image support. Maintains Apache 2.0 open license.

Qwen3.6 Plus introduces hybrid linear attention with sparse mixture-of-experts routing, achieving 78.8 on SWE-bench Verified. Major improvements in coding, reasoning, and multimodal capabilities over 3.5 series.

Microsoft released MAI-Transcribe-1, a speech-to-text model achieving lowest FLEURS benchmark word error rate at 2.5x faster inference than Azure Fast. Priced at $0.36 per audio hour, supporting 25 languages and challenging recording conditions.

Qwen 3.6 Plus introduces a hybrid architecture with linear attention and sparse mixture-of-experts routing, delivering major improvements in agentic coding, front-end development, and reasoning over the 3.5 series. Achieves 78.8 on SWE-bench Verified.

Initial release of Falcon Perception 0.6B early-fusion Transformer for open-vocabulary grounding and segmentation. Introduces Chain-of-Perception output interface and PBench diagnostic benchmark with five capability levels.

Meta's first closed-source AI model with planned paid developer access, marking a strategic shift from the open-source Llama series. Released from Meta Superintelligence Labs under new AI leadership.

Holo3-122B-A10B released with 78.85% OSWorld score using mixture-of-experts architecture (122B total, 10B active parameters). Trained via agentic learning flywheel with synthetic data augmentation and curated reinforcement learning. Holo3-35B-A3B variant open-sourced under Apache 2.0.

Initial release of Trinity Large Thinking, an open-source reasoning model with 262K context window. Model supports transparent reasoning processes and agentic task handling.

Google released Veo 3.1 Lite, a cost-optimized video generation model priced at less than 50% of Veo 3.1 Fast. Designed for high-volume applications with same generation speed as Veo 3.1 Fast.

Qwen3.5-Omni expands from Qwen3-Omni with 8x context window increase (32K to 256K tokens), 6x language support expansion (11 to 74 languages), hybrid attention-MoE architecture, and ARIA token interleaving for improved real-time speech synthesis. Demonstrates emergent code-generation capability from spoken and video input.

Granite 4.0 3B Vision introduces a compact vision-language model optimized for enterprise document processing with DeepStack Injection architecture and ChartNet dataset training. Shipped as LoRA adapter on Granite 4.0 Micro for modular text-only fallback support.

Microsoft released the Harrier-OSS embedding model family with three parameter sizes (270M, 600M, 27B) supporting multilingual inputs, 32K token context, and knowledge distillation techniques. The 27B variant achieves 74.3 on MTEB v2 benchmark.

Grok 4.20 is xAI's flagship release featuring a 2 million token context window, toggleable reasoning capabilities, and native agentic tool support. The model claims industry-leading speed with low hallucination rates.

Grok 4.20 Multi-Agent is a specialized variant designed for collaborative agent-based workflows with parallel agent coordination. Scales agent count based on reasoning effort: 4 agents at low/medium effort, 16 agents at high/xhigh effort.

Microsoft releases Harrier-OSS-v1 family of multilingual embedding models in three sizes (270M, 0.6B, 27B parameters) trained with contrastive learning and knowledge distillation. The 0.6B variant achieves 69.0 MTEB v2 score with 32,768 token context window and supports 45+ languages.

Qwen 3.6 Plus Preview introduces a hybrid architecture with 1M token context window, improved reasoning and agentic behavior over 3.5 series. Available free on OpenRouter with data collection for model improvement.

Lyria 3 Clip Preview introduces Google's music generation model to the Gemini API with clip-based pricing at $0.04 per 30-second generation.

Google releases Lyria 3 Pro Preview, a music generation model producing full-length songs with vocals, lyrics, and instrumental arrangements. Priced at $0.08 per song through the Gemini API with 1M token context window.

v5.5 prioritizes user customization with three new features: Voices for voice cloning, Custom Models for style training on user music, and My Taste for preference-based generation. Voices and Custom Models available to Pro/Premier subscribers only.

KAT-Coder-Pro V2 builds on earlier KAT-Coder versions with enhanced agentic coding capabilities for large-scale production environments and added web design generation for landing pages and presentation decks.

Suno 5.5 introduces Voices (voice cloning with verification), Custom Models (fine-tune on personal music), and My Taste (personalized recommendations). Described as the company's best and most expressive model yet.

Cohere releases Transcribe, a 2B parameter open-source speech recognition model with 5.42% WER on the Hugging Face leaderboard, supporting 14 languages under Apache 2.0 license.

Gemini 3.1 Flash Live improves upon 2.5 Flash Native Audio with enhanced acoustic recognition, background noise filtering, lower latency, and extended conversation context.

Dreamina Seedance 2.0 launches in CapCut with IP safeguards including face-detection blocks, unauthorized IP generation prevention, and invisible watermarking to identify AI-generated content.

Google released Gemini 3.1 Flash Live, an audio-focused model optimized for multilingual conversations. The model powers the expansion of Search Live to 200+ countries with claimed improvements to response speed and conversation naturalness.

NVIDIA released gpt-oss-puzzle-88B, an inference-optimized 88B-parameter mixture-of-experts model derived from gpt-oss-120B using the Puzzle NAS framework. Achieves 1.63× throughput improvement on long-context and up to 2.82× on single H100s while maintaining parent accuracy through heterogeneous expert pruning, selective window attention, and knowledge distillation with RL optimization.

First Mistral text-to-speech model. Supports voice cloning from minimal audio, available as both API and open-weights version.

Expanded from 30-second to 3-minute song generation with improved structural composition control. Added support for specifying discrete song elements.

Lyria 3 Pro improves upon Lyria 3 with better understanding of musical structures and enhanced track generation capabilities up to 3 minutes. Model available across Gemini, Google Vids, Vertex AI, and Google AI Studio.

Initial release of MolmoWeb with 4B and 8B parameter variants. Includes full training dataset (MolmoWebMix), model weights, and evaluation tools under Apache 2.0 license.

Apple developed RubiCap, a rubric-guided reinforcement learning framework for dense image captioning that achieves state-of-the-art results with 2B-7B parameter models, outperforming competitors up to 72B parameters.

Nemotron 3 Super now available on Amazon Bedrock as fully managed serverless inference. 120B parameter MoE model with 12B active parameters, 256K context, claims 5x throughput improvement and 2x accuracy gain over previous version.

Composer 2 launched with frontier-level coding intelligence, built on Moonshot AI's open-source Kimi 2.5 model with additional reinforcement learning training applied by Cursor (75% of final compute).

Xiaomi released MiMo-V2-Pro as 3x larger successor to MiMo-V2-Flash (Dec 2025), reaching 1T parameters with 42B active per request. Benchmarks place it 3rd globally on PinchBench/ClawEval, nearly matching Claude Opus 4.6 on coding (78% vs 80.8%) while costing 80% less per input token.

M2.7 introduces autonomous participation in its own development through 100+ self-optimization rounds, achieving 30% performance improvement on internal coding tasks and competitive benchmark scores against leading Western models.

Reka releases Reka Edge, a new 7-billion parameter multimodal model optimized for efficient image and video understanding with a 16K context window.

MAI-Image-2 improves upon MAI-Image-1 with enhanced photorealism, natural lighting, and notably adds reliable text rendering capabilities for practical design applications. The model ranks third on Arena.ai leaderboard, up from ninth place for the previous version.

Composer 2 achieves 61.3 on CursorBench (+38% vs Composer 1.5) through improved pretraining and reinforcement learning on long-horizon tasks. Pricing set at $0.50/$2.50 per 1M tokens, undercutting Claude and GPT-4 by 60-90%.

Qwen3.5-Max-Preview launches as Alibaba's largest model (1T+ params) in the Qwen3.5 series. 262K context with thinking mode (82K CoT). Beats previous flagship on reasoning, multilingual, and agentic tasks. $1.20/$6.00 per 1M tokens.

Xiaomi debuts MiMo-V2-Omni, a frontier omni-modal model processing image, video, and audio natively. 262K context with strong agentic capabilities including visual grounding and code execution.

Xiaomi launches MiMo-V2-Pro, their flagship 1T-parameter foundation model with 1M context. Optimized for agentic scenarios, ranking among global top tier on standard benchmarks.

MiMo-V2-Pro is Xiaomi's flagship foundation model launch featuring 1T+ parameters and 1M context window optimized for agent systems and complex workflow orchestration.

GPT-5.4 mini, OpenAI's fastest variant of GPT-5.4, is now generally available in GitHub Copilot. The model claims to be the highest-performing mini offering for coding tasks.

GPT-5.4 mini introduces major improvements in coding, reasoning, and computer control capabilities over GPT-5 mini. Model runs over 2x faster and achieves near-full-GPT-5.4 performance on multiple benchmarks while consuming 30% of quota in agentic systems.

GPT-5.4 Nano launches as the smallest, fastest member of the GPT-5.4 family. 400K context, multimodal input, optimized for high-volume agentic tasks at $0.20/$1.25 per 1M tokens.

Mistral Small 4 launches unifying Magistral reasoning, Pixtral multimodal, and agentic coding into one model. 262K context at $0.15/$0.60 per 1M tokens.

Initial release of Nemotron-3-Nano-4B-GGUF, a quantized (Q4_K_M) 4B parameter edge model with hybrid Mamba-2 architecture. Supports controllable reasoning modes and 262K context window for edge AI applications including gaming NPCs and local voice assistants.

Initial release of MiniMax M2.7 — next-gen LLM with multi-agent collaboration, 204K context, SWE-Pro 56.2%, Terminal Bench 2 57.0%

GLM 5 Turbo launches with 203K context and fast inference optimized for agent-driven environments. Improved complex reasoning over base GLM 5 at $0.96/$3.20 per 1M tokens.

ByteDance releases Seedream 4.5, their latest image generation model with major quality improvements over Seedream 4.0.

Mistral AI releases Pixtral Large, a new multimodal model supporting image and text inputs with 128K context window.

Nvidia released Llama 3.1 Nemotron 70B Instruct, an instruction-tuned variant of Meta's Llama 3.1 70B model optimized for developer applications.

Minimax released M1 80k, expanding its M1 model family with an 80,000-token context window for extended document processing.

Google launched Ask Maps, integrating Gemini AI into Google Maps to allow users to ask complex contextual navigation questions. The chatbot personalizes responses based on user search history and saved locations.

Minimax releases M1 40k model with 40,000-token context window. Initial release with limited publicly disclosed specifications.

Nvidia releases Nemotron 3 Super, a 120B hybrid MoE model with 1M context window, latent expert routing, and multi-token prediction. Fully open-weight under NVIDIA Open License.

NVIDIA releases Nemotron-3-Super-120B, a 120B parameter model with latent MoE architecture optimized for conversational tasks across 8 languages.

ByteDance launches Seed-2.0-Lite, a cost-efficient multimodal enterprise model with 262K context. Strong agent capabilities at $0.25/$2.00 per 1M tokens.

NVIDIA releases Nemotron-3-Super-120B-A12B-BF16, a 120 billion parameter model with latent MoE architecture for efficient text generation across 8 languages.

GPT-5.4, OpenAI's agentic coding model, is now generally available in GitHub Copilot after early testing validated improved performance on real-world and agentic software development tasks.

StepFun releases Step-3.5-Flash-Base as an open-source text generation model optimized for efficient inference under Apache 2.0 license.

Qwen3.5-0.8B released as an 800-million-parameter multimodal model for edge inference. Supports image and text inputs under Apache 2.0 licensing.

Initial release of Qwen3.5-2B, a 2-billion-parameter multimodal model supporting image and text processing.

Qwen3.5-4B released as a 4 billion parameter multimodal model supporting image and text inputs. Apache 2.0 licensed for open-source use.

Qwen3.5-9B released as multimodal 9-billion parameter model supporting image and text inputs. Available under Apache 2.0 license on Hugging Face.

Gemini 3.1 Flash Lite Preview launches as Google's high-efficiency model for high-volume use. 1M context at $0.25/$1.50, outperforms Gemini 2.5 Flash Lite.

Gemini 3.1 Flash-Lite achieves 2.5x faster first-token latency than Gemini 2.5 Flash with 360 tokens/second throughput. Output pricing increased to $1.50 per million tokens from $0.40.

Released FP8-quantized version of Qwen3.5-35B-A3B, reducing memory requirements while maintaining multimodal capabilities. Compatible with Transformers endpoints and Azure deployment.

Initial release of Context-1, a 20B parameter Mixture of Experts retrieval agent model trained for multi-hop search with self-editing context capabilities.

Qwen3.5-35B-A3B-Base released as a 35-billion parameter multimodal model with Apache 2.0 license. Part of the Qwen3.5 mixture-of-experts family.

Seed-2.0-Mini launches targeting latency-sensitive scenarios with 262K context and four reasoning effort levels at $0.10/$0.40 per 1M tokens.

Nano Banana 2 (Gemini 3.1 Flash Image Preview) debuts as Google's fastest image generation model. Pro-level quality at Flash speed with $0.50/$3.00 per 1M tokens.

Qwen3.5-Flash debuts with 1M context and ultra-low $0.065/$0.26 pricing. Hybrid architecture delivers a leap in inference efficiency over Qwen 3 series.

Qwen3.5-27B released as a 27-billion parameter multimodal model supporting image-text-to-text tasks. Available under Apache 2.0 license with transformer endpoint compatibility.

Qwen3.5-35B-A3B released as open-weight multimodal model with 35B parameters. Apache 2.0 licensed, supports image and text inputs with conversational capabilities.

Cohere Labs releases tiny-aya-global, a multilingual text generation model fine-tuned from tiny-aya-base to support conversational tasks across 100+ languages including major and low-resource languages.

Alibaba released Qwen 3.5 series claiming performance parity with proprietary frontier models while optimized for commodity hardware, directly challenging closed-source AI model economics.

Gemini 3.1 Pro enters public preview in GitHub Copilot with focus on efficient edit-then-test loops and agentic coding capabilities.

Claude deployed in Goldman Sachs production environment for trade accounting and client onboarding operations.

Lyria 3 integrated into Gemini, enabling 30-second music track generation with vocals, lyrics, and cover art from text prompts or uploaded media.

GLM-5.1 introduces sustained agentic reasoning over hundreds of iterations with improved performance on SWE-Bench Pro (58.4%, +3.3pp vs. GLM-5) and NL2Repo (42.7%, +6.8pp vs. GLM-5). The model maintains productivity across longer problem-solving sessions through iterative experimentation and strategy revision.

Claude Opus 4.6 — major GPQA and reasoning improvements; ARC-AGI-2 jump from 37.6% to 68.8%.

Qwen3.5 397B A17B launches as a hybrid linear-attention + sparse MoE vision-language model. 262K context at $0.39/$2.34 per 1M tokens with state-of-the-art performance.

Qwen3.5 Plus launches with 1M context and strong cross-domain performance in academia, finance, marketing, programming, and science at $0.30/$1.20 per 1M tokens.

Gemini 3.1 Pro released as upgrade to Gemini 3 Pro. Enhanced reasoning for complex multi-step problems. Preview access via AI Studio.

Z.ai launches GLM 5, their flagship open-source foundation model for complex systems design and long-horizon agentic workflows. 80K context at $0.72/$2.30 per 1M tokens.

Claude Sonnet 4.6 brings improved multi-step reasoning and stronger agentic task performance over 4.5, at the same price.

Grok 4 mini brings next-generation reasoning at low cost. Significantly outperforms Grok 3 mini on AIME and competitive coding tasks.

Grok 4 launches as xAI flagship with 256K context and major multimodal capability leap over Grok 3. Claims top-tier performance on coding and reasoning benchmarks.

Kimi K2.5 launches as Moonshot AI's native multimodal model with state-of-the-art visual coding and agent swarm paradigm. 262K context at $0.45/$2.20 per 1M tokens.

Claude Sonnet 4.5 January patch with stability improvements for long agentic sessions and better tool use across multi-turn workflows.

Gemini 2.5 Pro preview January update with longer stable thinking output windows and improved factual grounding on complex queries.

o3 January 2026 update with expanded API availability across all tiers and improved performance on multi-step code debugging tasks.

Global rollout suspended following copyright cease-and-desist letters from Disney and Paramount Skydance over use of copyrighted training material.

DeepSeek V3 December update with improved instruction following and expanded Chinese-English code-switching performance.

GPT-4o December snapshot with improved real-time audio mode quality and enhanced JSON schema structured output compliance.

Mistral Small 3.1 December update with improved vision accuracy and expanded support for structured data extraction from images.

Gemini 3.0 Pro debuts as first Gemini 3 generation model. Upgraded reasoning and native multimodal understanding. Quickly superseded by 3.1.

o3-mini November update with expanded API tier access and improved reliability for the high-effort reasoning mode.

xAI releases Grok 4.1 Thinking variant with reasoning-focused capabilities. Technical specifications and pricing not yet disclosed.

Kimi K2 Thinking debuts as Moonshot AI's most advanced open reasoning model. Trillion-parameter MoE with 32B active params for agentic long-horizon reasoning.

Gemini 2.5 Flash November preview with configurable thinking budget improvements and better cost efficiency at higher thinking token counts.

Claude 3.7 Sonnet November update with significantly improved agentic task completion rates and more reliable computer use across complex workflows.

Added audio embedding support to Nova Multimodal Embeddings. Model now processes audio content alongside text, images, documents, and video with four embedding dimension options (3,072, 1,024, 384, 256) using Matryoshka Representation Learning.

Grok 3 October update extending knowledge cutoff and improving accuracy on real-time query grounding from X data.

Claude Opus 4.5 — improved agentic coding and reasoning.

GPT-4o October snapshot with vision improvements and better performance on document understanding tasks.

Baidu launches ERNIE 4.5 21B A3B Thinking, an upgraded lightweight MoE reasoning model. Top-tier on math, science, and coding benchmarks at $0.07/$0.28 per 1M tokens.

Llama 4 Scout patch fixing multimodal tokenization issues and improving throughput for long-context document tasks.

Mistral Large 2 September update with improved code generation and expanded function calling support for complex tool schemas.

Claude 3.7 Sonnet September patch with improved computer use stability and reduced hallucination rate in extended thinking mode.

o1 September update with improved tool calling reliability and expanded coverage of edge cases in mathematical reasoning.

Kimi K2 September update brings improvements to the trillion-parameter MoE model with 256K long-context inference at $0.40/$1.60 per 1M tokens.

ERNIE 4.5 VL 28B A3B launches as Baidu's multimodal MoE model with 28B params (3B active). Vision + text understanding at $0.07/$0.28 per 1M tokens.

ERNIE 4.5 21B A3B launches as Baidu's efficient MoE text model with 21B params (3B active). 120K context at $0.07/$0.28 per 1M tokens.

GPT-4o August 2025 snapshot with improved structured output reliability and expanded multilingual performance.

Qwen3 72B patch release with bug fixes and improved instruction-following stability across multilingual prompts.

Gemini 2.5 Pro preview update with improved tool use accuracy and reduced latency on multi-step reasoning tasks.

Claude Sonnet 4.5 with improved agentic performance and hybrid reasoning.

Tencent launches Hunyuan A13B Instruct, a 13B-active MoE model (80B total params) with Chain-of-Thought reasoning. 131K context at $0.14/$0.57 per 1M tokens.

Fastest Claude yet with improved tool use and very low cost per token.