model-release

Google DeepMind released Gemini 3.1 Flash-Lite, a model that generates functional websites in real time through a new pseudo-browser demo. The model achieves first response token 2.5 times faster than Gemini 2.5 Flash and outputs over 360 tokens per second, though output pricing has tripled from $0.40 to $1.50 per million tokens.

Stability AI released Stable Audio 2.5, positioned as the first audio generation model built specifically for enterprise sound production. The model introduces improvements in quality and control for creating dynamic compositions adaptable to custom brand needs.

Stability AI has released Stable Video 4D 2.0 (SV4D 2.0), an upgraded version of its multi-view video diffusion model designed to generate 4D assets from single object-centric videos. The update claims to deliver higher-quality outputs on real-world video footage.

NVIDIA released Nemotron-3-Nano-4B-GGUF on March 16, 2026, a 4-billion parameter small language model (SLM) designed for edge deployment on devices like Jetson Thor and GeForce RTX. The model features a hybrid Mamba-2 and Transformer architecture with a 262K token context window and supports both reasoning and non-reasoning modes via system prompts.

Nvidia has released Nemotron 3 Super, a 120-billion parameter hybrid Mamba-Transformer Mixture-of-Experts model that activates only 12 billion parameters during inference. The open-weight model features a 1-million token context window, multi-token prediction capabilities, and pricing at $0.10 per million input tokens and $0.50 per million output tokens.

Xiaomi released MiMo-V2-Pro on March 18, 2026, a flagship foundation model with over 1 trillion total parameters and a 1,048,576 token context window. The model is priced at $1 per million input tokens and $3 per million output tokens, positioning it as an agent-focused system comparable to top-tier models.

NVIDIA Nemotron 3 Super, a hybrid Mixture of Experts model with 120B parameters and 12B active parameters, is now available as a fully managed model on Amazon Bedrock. The model supports up to 256K token context length and claims 5x higher throughput efficiency over the previous Nemotron Super and 2x higher accuracy on reasoning tasks.

MiniMax released M2.7, a model that autonomously participated in its own development through self-optimization loops. The model ran over 100 optimization rounds on internal coding tasks, achieving a 30% performance boost, and scored 66.6% on OpenAI's MLE Bench Lite—competitive with Gemini 3.1 Pro and GPT-5.4.

Cursor released Composer 2, a code-specialized model priced at $0.50 per million input tokens and $2.50 per million output tokens—roughly 90% cheaper than Claude Opus 4.6 ($5.00/$25.00) and 60% cheaper than GPT-5.4 ($2.50/$15.00). The model scores 61.3 on Cursor's internal CursorBench, competitive with Claude Opus 4.6 (58.2) but below GPT-5.4 Thinking (63.9).

OpenAI released GPT-4o mini on July 18, 2024, a compact multimodal model with 128,000 token context window priced at $0.15 per million input tokens and $0.60 per million output tokens. The model achieves 82% on MMLU and claims to rank higher than GPT-4 on chat preference leaderboards while costing 60% less than GPT-3.5 Turbo.

OpenAI has released GPT-5.4 mini and GPT-5.4 nano, compact models optimized for coding and subagent tasks. The new models deliver significant performance improvements—GPT-5.4 mini reaches 54.4% on SWE-Bench Pro versus 45.7% for GPT-5 mini—but cost 3-4x more per input token than their predecessors.

OpenAI has released GPT-5.4 mini, the lightweight variant of its agentic coding model GPT-5.4, in GitHub Copilot. The model represents OpenAI's highest-performing mini offering to date for code generation and completion tasks.

Mistral AI has released Mistral Small 4, the latest iteration of its small-scale language model. The company claims improvements in reasoning and coding capabilities, though specific benchmark scores and pricing details have not been publicly disclosed.

Nvidia will invest $26 billion over the next five years to build open-weight AI models, according to a 2025 financial filing confirmed by executives. The move signals a strategic shift from chipmaker to AI frontier lab, with the company releasing Nemotron 3 Super (128B parameters) and claiming it outperforms GPT-OSS on multiple benchmarks.

Hume AI has open-sourced TADA, a speech generation model that maps exactly one audio signal to each text token, achieving 5x faster processing than comparable systems. The model produced zero transcription hallucinations across 1,000+ test samples and runs on smartphones, available in 1B and 3B parameter versions under MIT license.

NVIDIA has released Nemotron-3-Super-120B-A12B-NVFP4, a 120-billion parameter text generation model featuring a latent Mixture-of-Experts (MoE) architecture. The model supports 8 languages including English, French, Spanish, Italian, German, Japanese, and Chinese, and is available on Hugging Face with 8-bit quantization support through NVIDIA's ModelOpt toolkit.

NVIDIA has released Nemotron-3-Super-120B-A12B-BF16, a 120 billion parameter model designed for text generation and conversational tasks. The model employs a latent mixture-of-experts (MoE) architecture and supports multiple languages including English, French, Spanish, Italian, German, Japanese, and Chinese.

Google has released Gemini Embedding 2, its first native multimodal embedding model that represents text, images, video, audio, and documents in a unified vector space. The model eliminates the need for separate embedding models across different modalities in AI pipelines.

IBM has released Granite 4.0 1B Speech, a 1 billion parameter multilingual speech model designed for edge deployment. The model supports multiple languages and is optimized for devices with limited computational resources.

OpenAI has released version 2.25.0 of its Python SDK, adding support for GPT-5.4 and introducing a new tool search feature alongside a computer control tool for agent-based automation. The update, released March 5, 2026, also includes API schema refinements and parameter changes to the prompt cache and message handling.

OpenAI has launched GPT-5.4, its latest model with native computer use capabilities that allow it to operate computers and complete tasks across applications. The release represents a step toward autonomous AI agents that can handle complex jobs independently. The model includes advancements in reasoning, coding, and professional work with spreadsheets, documents, and presentations.

OpenAI has launched GPT-5.4, which the company describes as its most capable and efficient frontier model for professional work. The release includes Pro and Thinking variants, though specific technical specifications and pricing remain unclear.

StepFun has released Step-3.5-Flash-Base, a text generation model available on Hugging Face under Apache 2.0 license. The model is part of the Step 3.5 series and focuses on efficient inference.

Google has released Gemini 3.1 Flash-Lite, positioning it as the fastest and most cost-efficient model in its Gemini 3 series. The release targets deployment scenarios requiring high-speed inference at reduced computational cost.

Google DeepMind has released Gemini 3.1 Flash-Lite, positioning it as the fastest and most cost-efficient model in the Gemini 3 series. The release targets applications requiring high-speed inference at scale, continuing Google's multi-tier model strategy across the Gemini family.

Alibaba's Qwen team released Qwen3.5-35B-A3B-FP8 on Hugging Face, a quantized version of their 35-billion parameter multimodal model. The FP8 quantization reduces model size and memory requirements while maintaining the base model's image-text-to-text capabilities. The model is compatible with standard Transformers endpoints and Azure deployment.

Perplexity has open-sourced two text embedding models designed to match or exceed the performance of Google's and Alibaba's embeddings while requiring significantly less memory. The move brings competitive embedding technology into the open-source ecosystem.

DeepSeek has released DeepSeek-R1, a text generation model featuring reasoning capabilities through chain-of-thought processing. The model was published January 20, 2025 and has accumulated over 830,000 downloads on Hugging Face.

Google DeepMind has released Nano Banana 2, an image generation model that combines advanced world knowledge and subject consistency with faster inference speeds comparable to its Flash offering. The model is positioned as production-ready with capabilities previously associated with Pro-tier performance.

LocoreMind has released LocoOperator-4B, a 4 billion parameter text generation model fine-tuned from Qwen/Qwen3-4B-Instruct-2507. The model is optimized for agent workflows and tool-calling capabilities and is available under an MIT license.

Guide Labs has open-sourced Steerling-8B, an 8 billion parameter language model built with a new architecture specifically designed to make the model's reasoning and actions easily interpretable. The release addresses a persistent challenge in AI development: understanding how large language models arrive at their outputs.

Zyphra has released ZUNA, an open-source model available on Hugging Face under the Apache 2.0 license. The model has been downloaded 529 times since its February 4, 2026 release.

Google announced Gemini 3.1 Pro, positioning the model for complex problem-solving tasks requiring deeper reasoning than previous versions. The release follows Gemini 3 Pro (November 2025) and Gemini 3 Flash (December 2025).

Alibaba has released the Qwen 3.5 series, an open-source model that claims performance comparable to frontier proprietary models while running on commodity hardware. The release signals a shift in AI model economics, offering enterprises lower inference costs and greater deployment flexibility than closed alternatives.