model-release

Mistral AI has released Voxtral TTS, a 4B parameter text-to-speech model supporting 9 languages including English, French, German, Spanish, Dutch, Portuguese, Italian, Hindi, and Arabic. The model achieves 70ms latency for typical inputs and can clone voices from as little as 3 seconds of audio, priced at $0.016 per 1,000 characters.

Mistral has released Mistral 3, including Mistral Large 3—a sparse mixture-of-experts model with 41B active and 675B total parameters—and three Ministral 3 edge models (3B, 8B, 14B). All models are released under Apache 2.0 license with multimodal capabilities and are available today on multiple platforms.

Google has released Gemini 3.1 Flash Image, internally codenamed "Nano Banana 2," an image generation and editing model with a 131K context window. The model is priced at $0.50 per 1M input tokens and $3 per 1M output tokens.

Z.ai has released GLM-5.2, a model designed for long-horizon engineering tasks with a 1 million token context window. The model is priced at $1.40 per million input tokens and $4.40 per million output tokens, and was released on June 16, 2025.

MiniMax has released M3, a multimodal model with approximately 428 billion parameters and 23 billion activated parameters. The model supports a 1 million token context window and uses MiniMax Sparse Attention to achieve 9× prefill and 15× decode speedups compared to its predecessor M2.

Anthropic has released Fable 5, making capabilities from its previously restricted Mythos model available to the public. The company claims Fable 5 beats GPT-5.5, Gemini 3.1 Pro, and its own Opus 4.8 in internal testing, with pricing set at $10 per million input tokens and $50 per million output tokens after a free trial period ending June 22.

Anthropic has released Claude Fable 5, its first publicly available Mythos-class model, at $10 per million input tokens and $50 per million output tokens—less than half the price of Claude Mythos Preview. The model includes safeguards that redirect sensitive queries to Claude Opus 4.8 in less than 5% of sessions.

Anthropic released Claude Fable 5, a Mythos-class model, to enterprise customers and paid subscribers two months after limiting its advanced Mythos model to select users. The new model costs $10 per million input tokens and $50 per million output tokens—twice the price of Claude Opus 4.8—and includes safeguards that block responses in high-risk areas like cybersecurity and biology.

Anthropic released Claude Fable 5, the first publicly available version of its Mythos model, with built-in safety restrictions that automatically block high-risk queries in cybersecurity, biology, chemistry, and related fields. The model costs $10 per million input tokens and $50 per million output tokens, double the price of Claude Opus 4.8.

Anthropic has released Claude Fable 5, marking the first broad release from its Mythos class of AI models. The company previously deemed this model family too dangerous for public release due to exceptional cybersecurity capabilities, but new safeguards that block responses in high-risk areas now make it available at $10 per million input tokens and $50 per million output tokens.

Anthropic released Python SDK v0.108.0 on June 9, 2026, adding support for two new Claude models: Claude Mythos-5 and Claude Fable-5. The update includes both server-side and client-side fallback middleware for handling model refusals.

NVIDIA released Nemotron-3-Ultra-550B-A55B-NVFP4, a 550B parameter model with 55B active parameters, featuring a 1M token context window and configurable reasoning mode. The model uses a hybrid LatentMoE architecture combining Mamba-2, Mixture-of-Experts, and Attention layers with Multi-Token Prediction, trained with NVIDIA's NVFP4 quantization-aware approach.

Ideogram has released Ideogram 4, its first open-weight text-to-image model with 9.3 billion parameters. The model supports native 2K resolution, structured JSON prompting with bounding-box layout controls, and is available in nf4 and fp8 quantizations under a non-commercial license.

Alibaba's Qwen has released Qwen3.7 Plus, a multimodal model with a 1 million token context window. The model accepts text and image input with text output, priced at $0.40 per million input tokens and $1.60 per million output tokens through OpenRouter's API.

Microsoft announced two proprietary AI models at its Build developer conference: MAI-Code-1 for code generation and MAI-Thinking-1 for reasoning tasks. The models are designed to run on Azure infrastructure, allowing Microsoft to reduce costs from its $13 billion OpenAI investment while competing directly with Anthropic and Google.

Microsoft announced MAI-Thinking-1, its first advanced reasoning AI model, at Build 2026. The company claims it's a medium-sized model matching leading models on key software engineering benchmarks, trained from scratch without distillation from third-party models.

Anthropic is expanding its Project Glasswing cybersecurity initiative to approximately 150 new organizations, including Samsung and NATO, bringing the total to around 200 partners across 15+ countries. The company says it will release Mythos-class models to all customers within weeks, following the April unveiling of Claude Mythos which was initially limited to select partners like Apple.

Anthropic closed a $65 billion Series H at a $965 billion valuation, making it the most valuable AI startup globally and surpassing OpenAI's $852 billion March valuation. The company simultaneously released Claude Opus 4.8 and announced plans to bring its Mythos cyber-focused model to all customers within weeks.

Anthropic's Claude Opus 4.8 is now available on Amazon Bedrock and Claude Platform on AWS. The model is designed for autonomous multi-stage tasks, agentic coding, and long-running workflows with reduced supervision.

Anthropic released Claude Opus 4.8 on May 28, 2026, six weeks after version 4.7. The model achieves 69.2% on agentic coding benchmarks (up from 64.3%), runs 2.5 times faster in fast mode at one-third the cost, while maintaining the same pricing as version 4.7.

Anthropic released Claude Opus 4.8 on Thursday, its fastest upgrade cycle at 41 days since the previous Opus 4.7. The model includes a new Dynamic Workflows feature designed to manage complex tasks across hundreds of parallel subagents, with pricing unchanged from previous Opus releases.

Mistral AI released OCR 3, a document parsing model priced at $2 per 1,000 pages with a 50% batch API discount. The company claims a 74% overall win rate compared to Mistral OCR 2 on forms, scanned documents, complex tables, and handwriting.

Mistral AI has released two specialized coding models: Devstral Medium, achieving 61.6% on SWE-Bench Verified, and Devstral Small 1.1, scoring 53.6% and released under Apache 2.0 license. The company claims Devstral Medium surpasses Gemini 2.5 Pro and GPT-4.1 at a quarter of the price.

Mistral AI launched Mistral Medium 3 on May 7, 2025, priced at $0.4 per million input tokens and $2 per million output tokens. The company claims the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks while being significantly less expensive, and surpasses Llama 4 Maverick and Cohere Command A.

Mistral AI has released Saba, a 24B-parameter model trained specifically for Arabic and South Asian languages including Tamil. The model runs on single-GPU systems at over 150 tokens per second and is available via API or for on-premises deployment.

Google released Gemini 3.5 Flash today with 4x faster output token generation than competing frontier models while surpassing Gemini 3.1 Pro on coding, agentic, and multimodal benchmarks. The company announced Gemini 3.5 Pro will launch next month and introduced Gemini Omni, a new multimodal series that outputs video.

Google released Gemini 3.5 Flash, positioning it as an agent-first model designed for autonomous coding and multi-hour workflows. The company claims the model outperforms its 3.1 Pro predecessor on coding and agentic benchmarks while running 4x faster than competing frontier models, with an optimized version achieving 12x speed gains.

Google released Gemini 3.5 Flash, priced at half to one-third the cost of comparable frontier models, and announced it will become the default model in the Gemini app globally. The company also unveiled Omni, a world model for simulating physical environments, and Gemini Spark, an AI agent in beta testing.

ByteDance has released Lance, a 3-billion parameter multimodal model that performs image and video generation, editing, and understanding within a single framework. The model was trained entirely from scratch using 128 A100 GPUs and achieves 84.67% on DPG-Bench and 74% on GenEval, competing with larger models despite its compact size.

Baidu has released Qianfan-OCR-Fast, a multimodal model specialized for optical character recognition tasks. The model offers a 66,000 token context window and is priced at $0.68 per 1M input tokens and $2.81 per 1M output tokens.

Tencent has released Hy3 preview, a Mixture-of-Experts model with a 262,144 token context window priced at $0.066 per million input tokens and $0.26 per million output tokens. The model features three configurable reasoning modes—disabled, low, and high—designed for agentic workflows and production environments.

Google has released Gemini 3.1 Flash Lite, a high-efficiency multimodal model with a 1,048,576 token context window priced at $0.25 per million input tokens and $1.50 per million output tokens. The model supports text, image, video, audio, and PDF inputs with four thinking levels for cost-performance optimization.

Mistral AI released Mistral Medium 3.5, a 128B parameter dense model with a 256k context window that unifies instruction-following, reasoning, and coding capabilities. The model features configurable reasoning effort per request and a vision encoder trained from scratch for variable image sizes.

OpenAI released GPT Mini Latest on April 27, 2025, featuring a 400,000 token context window. The model automatically redirects to the latest version in the OpenAI GPT Mini family, allowing developers to stay current without manual updates.

Moonshot AI released Kimi Latest, a router endpoint that automatically redirects to the most recent model in the Kimi family. The model features a 262,144 token context window, though specific pricing and performance benchmarks have not been disclosed.

Alibaba's Qwen team has released Qwen3.6 Flash, a multimodal language model supporting text, image, and video input with a 1 million token context window. The model is priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens, with tiered pricing above 256K tokens.

Chinese AI lab DeepSeek has released preview versions of DeepSeek V4 Flash and V4 Pro, mixture-of-experts models with 1 million token context windows. The V4 Pro has 1.6 trillion total parameters (49 billion active), making it the largest open-weight model available, while both models significantly undercut frontier model pricing.

DeepSeek released a preview of its V4 model on April 24, 2026, claiming the open-source system matches leading closed-source models from Anthropic, Google, and OpenAI. The company emphasized improved coding capabilities and compatibility with domestic Huawei chips, but did not disclose training costs or hardware specifications.

DeepSeek has released V4-Flash-Base, a 292 billion parameter base model now available on Hugging Face. The model uses BF16, I64, F32, and F8_E4M3 tensor types and is distributed in Safetensors format.

DeepSeek released two preview models: V4 Pro (1.6T total parameters, 49B active) and V4 Flash (284B total, 13B active), both with 1 million token context windows. V4 Pro is priced at $1.74/M input tokens and $3.48/M output—42% cheaper than Claude Sonnet 4.6—while V4 Flash at $0.14/$0.28 per million tokens undercuts all small frontier models.

DeepSeek released a preview of its V4 large language model on April 24, 2026, available in 'pro' and 'flash' versions. The Hangzhou-based company claims the open-source model achieves strong performance on agent-based tasks and has been optimized for tools like Anthropic's Claude Code and OpenClaw.

Xiaomi released MiMo-V2.5 on April 22, 2026, a native omnimodal model with a 1,048,576 token context window. The model is priced at $0.40 per million input tokens and $2 per million output tokens, positioning it as a cost-efficient alternative for agentic applications requiring multimodal perception across image and video understanding.

Alibaba Qwen released Qwen3.6-27B, a 27-billion parameter model with a 262,144 token context window extensible to 1,010,000 tokens. The model claims 77.2% on SWE-bench Verified and 53.5% on SWE-bench Pro, with open weights available on Hugging Face.

Anthropic has released Claude Opus 4.7, the latest version of its flagship Opus family designed for long-running, asynchronous agent tasks. The model features a 1 million token context window and costs $5 per million input tokens and $25 per million output tokens.

Anthropic released Claude Opus 4.7, a new model that the company says is 'broadly less capable' than its most powerful offering, Claude Mythos Preview. The model includes automated safeguards that detect and block prohibited or high-risk cybersecurity requests.

OpenAI has released GPT-5.4-Cyber, a variant of GPT-5.4 fine-tuned specifically for defensive cybersecurity use cases. The release accompanies the company's Trusted Access for Cyber program, which allows users to verify their identity via government ID to gain access to cybersecurity-focused tools.

OpenAI announced GPT-5.4-Cyber, a variant of GPT-5.4 fine-tuned for defensive cybersecurity work. The model features binary reverse engineering capabilities and reduced safety restrictions, but access is limited to authenticated security professionals through the company's Trusted Access for Cyber program.

Anthropic has launched Mythos, an AI model the company claims can identify and exploit zero-day vulnerabilities with significant capability. The model has not been released publicly, with Anthropic citing security concerns. The announcement raises questions about the model's actual capabilities versus pre-IPO positioning.

Arcee AI has released Trinity-Large-Thinking, a 400-billion-parameter open-weight reasoning model with a mixture-of-experts architecture that activates only 13 billion parameters per token. The model matches Claude Opus 4.6 on agent benchmarks like Tau2 and PinchBench but lags on general reasoning tasks. The company spent approximately $20 million—roughly half its total venture capital—to train the model on 2,048 Nvidia B300 GPUs over 33 days.

MiniMax has released MiniMax-M2.7, a 229-billion parameter model that uniquely participates in its own evolution during development. The model achieves 66.6% medal rate on MLE Bench Lite and 56.22% on SWE-Pro benchmarks, with native support for multi-agent collaboration and complex tool orchestration.