Anthropic fastest model, delivering advanced coding, tool use, and reasoning at an accessible price

Anthropic most intelligent model to date and the first hybrid reasoning model on the market.

Anthropic most intelligent model to date and the first hybrid reasoning model on the market.

First release in the forthcoming Claude 3.5 model family. Claude 3.5 Sonnet raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet.

Claude Haiku 4.5 is the fastest, most cost-efficient model in the Claude family, delivering enhanced performance for coding, tool use, and reasoning tasks.

Claude Opus 4 is the world's best coding model, with sustained performance on complex, long-running tasks and agent workflows.

Claude Sonnet 4.5 is a significant upgrade to Claude Sonnet 4, delivering superior coding and reasoning while responding more precisely to your instructions.

Updated version of Claude 2 with improved accuracy

Most powerful model for highly complex tasks

Claude Opus 4.5 is Anthropic's most intelligent model, offering the highest level of performance on complex tasks requiring deep reasoning, nuanced understanding, and sophisticated analysis.

Claude Opus 4.1 advances coding performance to 74.5% on SWE-bench Verified with improved in-depth research and data analysis skills. Notable performance gains in multi-file code refactoring.

Claude Sonnet 4 is a significant upgrade to Claude Sonnet 3.7, delivering superior coding and reasoning while responding more precisely to your instructions.

Anthropic's most powerful AI model. Claude 3.5 Sonnet raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet. Claude 3.5 Sonnet shows us the frontier of what's possible with generative AI.

Anthropic most intelligent model to date and the first hybrid reasoning model on the market.

Anthropic's most powerful AI model. Claude 3.5 Sonnet raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet. Claude 3.5 Sonnet shows us the frontier of what's possible with generative AI.

This has a context length of up to 8,000 tokens, making it well-suited for a wide range of advanced general language, as well as support within Retrieval Augmented Generation (RAG

Claude Opus 4.5 is Anthropic's most intelligent model, offering the highest level of performance on complex tasks requiring deep reasoning, nuanced understanding, and sophisticated analysis.

Claude Sonnet 4 is Anthropic's next-generation AI model with enhanced reasoning capabilities, improved performance on complex tasks, and more nuanced understanding. This model represents a significant advancement in conversational AI with superior context handling and response quality.

Claude Sonnet 4.5 is a significant upgrade to Claude Sonnet 4, delivering superior coding and reasoning while responding more precisely to your instructions.

o3-mini is our newest small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini supports key developer features, like Structured Outputs, function calling, and Batch API.

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

Groundbreaking multimodal model integrates text, vision, and audio capabilities, setting a new standard for generative and conversational AI experiences

GPT-4o mini surpasses GPT-3.5 Turbo and other small models on academic benchmarks across both textual intelligence and multimodal reasoning, and supports the same range of languages as GPT-4o

GPT-5-chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications. It excels at maintaining long-form dialogue context and understanding nuanced communication.

GPT-5-mini is a lightweight version of GPT-5 optimized for cost-sensitive applications. It maintains strong reasoning capabilities while being more economical for high-volume use cases.

GPT-5-nano is optimized for speed and ideal for applications requiring low latency. It delivers rapid responses while maintaining quality for real-time applications.

The o1 reasoning model is designed to solve hard problems across domains. o1-mini is a faster and more affordable reasoning model, but we recommend using the newer o3-mini model that features higher intelligence at the same latency and price as o1-mini.

The o1 reasoning model is designed to solve hard problems across domains. o1-mini is a faster and more affordable reasoning model, but we recommend using the newer o3-mini model that features higher intelligence at the same latency and price as o1-mini.

Most capable 2nd generation embedding model, replacing 16 first generation models

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta has developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM. We provide a detailed description of our approach to fine-tuning and safety improvements of Llama-2-Chat in order to enable the community to build on our work and contribute to the responsible development of LLMs

Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.

Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

More capable than any GPT-3.5 model, able to do more complex tasks, and optimized for chat. Will be updated with our latest model iteration 2 weeks after it is released.

With 128k context, fresher knowledge and the broadest set of capabilities, GPT-4 Turbo is more powerful than GPT-4 and offered at a lower price.

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

New next generation larger embedding model and creates embeddings with up to 3072 dimensions

SeedEdit-3.0-I2I-250628 is an advanced image-to-image editing model from ByteDance that enables precise image modifications based on input images and text prompts.

Seedream-3.0-T2I-250415 is a state-of-the-art text-to-image generation model from ByteDance that creates high-resolution, photorealistic images from text prompts with bilingual support.

Seedream-4.0-250828 is a unified image generation and editing model from ByteDance that delivers up to 4K resolution images with faster inference. It handles complex multimodal tasks including knowledge-based generation, reasoning, and reference consistency.

Seedream-4-5-251128 is a unified image generation and editing model from ByteDance that delivers up to 4K resolution images with faster inference. It handles complex multimodal tasks including knowledge-based generation, reasoning, and reference consistency.

DeepSeek R1 Distill Llama 70B model optimized for fast inference on Cerebras hardware. Supports up to 65,536 tokens context length.

OpenAI GPT OSS 120B model optimized for fast inference on Cerebras hardware. Supports up to 8,192 tokens context length.

Llama 3.3 70B model optimized for fast inference on Cerebras hardware. Supports up to 128,000 tokens context length.

Llama 3.1 8B model optimized for fast inference on Cerebras hardware. Supports up to 8,192 tokens context length.

Qwen 3 235B Instruct 2507 model optimized for fast inference on Cerebras hardware. Only non-thinking mode.

Qwen 3 32B model optimized for fast inference on Cerebras hardware. Supports up to 16,382 tokens context length.

Light English embedding model, version 3.0, with 384-dimensional embeddings

English embedding model, version 3.0, with 1024-dimensional embeddings

Light multilingual embedding model, version 3.0, with 384-dimensional embeddings

Multilingual embedding model, version 3.0, with 1024-dimensional embeddings

English reranking model, version 3.0

Multilingual reranking model, version 3.0

A model for documents and semi-structured data (JSON). State-of-the-art performance in English and non-English languages; supports the same languages as embed-multilingual-v3.0. This model has a context length of 4096 tokens

Command A is our most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.

Command A Reasoning is Cohere's first reasoning model, able to "think" before generating an output in a way that allows it to perform well in certain kinds of nuanced problem-solving and agent-based tasks in 23 languages.

Command A Translate is Cohere's state of the art machine translation model, excelling at a variety of translation tasks on 23 languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Chinese, Arabic, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, Persian.

Command A Vision is our first model capable of processing images, excelling in enterprise use cases such as analyzing charts, graphs, and diagrams, table understanding, OCR, document Q&A, and object detection. It officially supports English, Portuguese, Italian, French, German, and Spanish.

command-r-08-2024 is an update of the Command R model, delivered in August 2024. An instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models.

command-r-plus-08-2024 is an update of the Command R+ model, delivered in August 2024. An instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context. Best suited for complex RAG workflows and multi-step tool use.

command-r7b-12-2024 is a small, fast update delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps.

English embedding model, version 3.0, with 1024-dimensional embeddings

High performance, lowest latency reranker. AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Supports 100+ languages with a context length of 32,768 tokens.

State of the art performance with low latency reranker. AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Supports 100+ languages with a context length of 32,768 tokens.

Contextual AI Rerank v1 instruction-following reranker. First generation instruction-following reranking model.

Contextual AI Rerank v2 multilingual instruction-following reranker. Best-in-class performance with support for custom instructions.

Contextual AI Rerank v2 multilingual mini instruction-following reranker. Efficient smaller model with excellent performance.

DeepSeek-V3, a powerful Mixture-of-Experts language model with 671B parameters, excelling at general chat, coding, and complex reasoning tasks.

DeepSeek-R1, a reasoning model with chain-of-thought capabilities, excelling at complex reasoning, mathematics, and coding tasks with step-by-step problem solving.

Ultra-fast model optimized for real-time use (~75ms†) - English only

Ultra-fast model optimized for real-time use (~75ms†)

Our most lifelike model with rich emotional expression

Our high quality, low latency model in 32 languages. Best for developer use cases where speed matters and you need non-English languages.

Scribe can transcribe speech into text and supports a wide range of languages for multilingual transcription

FLUX.1, a 12B parameters text-to-image model with outstanding aesthetics.

FLUX.1 [pro] new is an accelerated version of FLUX.1 [pro], maintaining professional-grade image quality while delivering significantly faster generation speeds.

FLUX.1 [schnell] is a 12 billion parameter flow transformer that generates high-quality images from text in 1 to 4 steps, suitable for personal and commercial use.

State-of-the-art image generation and editing model

Anthropic's most powerful AI model. Claude 3.5 Sonnet raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet. Claude 3.5 Sonnet shows us the frontier of what's possible with generative AI.

Claude 3.7 Sonnet is Anthropic's most intelligent model to date and the first Claude model to offer extended thinking—the ability to solve complex problems with careful, step-by-step reasoning. Anthropic is the first AI lab to introduce a single model where users can balance speed and quality by choosing between standard thinking for near-instant responses or extended thinking for advanced reasoning.

Claude 3.5 Haiku, the next generation of Anthropic's fastest and most cost-effective model, is optimal for use cases where speed and affordability matter. It improves on its predecessor across every skill set

Claude Haiku 4.5 is the fastest, most cost-efficient model in the Claude family, delivering enhanced performance for coding, tool use, and reasoning tasks.

Claude Sonnet 4.5 is a significant upgrade to Claude Sonnet 4, delivering superior coding and reasoning while responding more precisely to your instructions.

Gemini 2.0 Flash delivers enhanced performance, doubling the speed of 1.5 Pro while supporting multimodal inputs and outputs, including text, images, and multilingual text-to-speech. It also enables seamless tool integration for advanced functionality like code execution and third-party functions.

Our most intelligent model built for speed, combining frontier intelligence with superior search and grounding.

Gemini 3 Pro Preview - Advanced reasoning and capabilities for complex tasks. Preview version.

Latest Gemini embedding model with enhanced capabilities. Recommended replacement for text-embedding-004.

Imagen is a text-to-image AI model developed by Google AI that can generate high-quality, realistic images from text descriptions. It is the first model of its kind to achieve state-of-the-art performance on a variety of image generation tasks.

Imagen is a text-to-image AI model developed by Google AI that can generate high-quality, realistic images from text descriptions. It is the first model of its kind to achieve state-of-the-art performance on a variety of image generation tasks.

Imagen is a text-to-image AI model developed by Google AI that can generate high-quality, realistic images from text descriptions. It is the first model of its kind to achieve state-of-the-art performance on a variety of image generation tasks.

Claude Opus 4.1 advances coding performance to 74.5% on SWE-bench Verified with improved in-depth research and data analysis skills. Notable performance gains in multi-file code refactoring.

Claude Opus 4.5 is Anthropic's most intelligent model, offering the highest level of performance on complex tasks requiring deep reasoning, nuanced understanding, and sophisticated analysis.

Claude Opus 4 is the world's best coding model, with sustained performance on complex, long-running tasks and agent workflows.

Claude Sonnet 4 is a significant upgrade to Claude Sonnet 3.7, delivering superior coding and reasoning while responding more precisely to your instructions.

Gemini 2.0 Flash - Fast multimodal model with enhanced reasoning capabilities and broad input/output support.

Gemini 2.0 Flash delivers enhanced performance, doubling the speed of 1.5 Pro while supporting multimodal inputs and outputs, including text, images, and multilingual text-to-speech. It also enables seamless tool integration for advanced functionality like code execution and third-party functions.

Gemini 2.0 Flash Lite - Ultra-fast, lightweight model optimized for high-volume, low-latency tasks. Ideal for simple operations at scale.

Gemini 2.5 Flash - Fast and efficient model for high-volume tasks with enhanced capabilities. Generally available version.

Gemini 2.5 Flash-Lite - Our most cost-efficient and fastest 2.5 model yet. Optimized for high-volume, low-latency tasks.

Gemini 2.5 Flash Lite Preview (09/2025) - Ultra-fast lightweight model optimized for speed with comprehensive multimodal support.

Gemini 2.5 Flash Preview (09/2025) - High-speed multimodal model with enhanced performance for fast inference and reasoning.

Gemini 2.5 Pro - Advanced reasoning and capabilities for complex tasks. Generally available version.

Imagen 4.0 Fast - Optimized for speed with lower latency image generation. Ideal for real-time applications and high-volume tasks while maintaining quality output.

Imagen 4.0 Standard - Text-to-image generation with unprecedented photorealism, advanced prompt understanding, and fine-grained control. Supports various aspect ratios and multilingual prompts.

Imagen 4.0 Ultra - Highest quality image generation with maximum detail and fidelity. Optimized for professional and artistic use cases requiring exceptional output.

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).

The Meta Llama 4 Maverick 17B-128E is a high-performance multilingual large language model with 128 experts for enhanced reasoning capabilities.

The Meta Llama 4 Scout 17B-16E is a high-performance multilingual large language model with 16 experts optimized for efficient inference.

Mistral Small 3.1 (25.03) is the enhanced version of Mistral Small 3, featuring multimodal capabilities and an extended context length of up to 128k. It can process and understand visual inputs as well as long documents. Designed with low-latency applications in mind and delivers best-in-class efficiency for tasks such as programming, mathematical reasoning, document understanding, dialogue, visual understanding, and summarization.

Latest text embedding model with improved performance and accuracy for semantic search and similarity tasks.

Multilingual text embedding model supporting 100+ languages for cross-lingual semantic search and similarity.

Multimodal understanding. Realtime streaming. Native tool use.

Gemini 2.5 Flash - Fast and efficient model for high-volume tasks with enhanced capabilities. Generally available version.

Gemini 2.5 Flash-Lite - Our most cost-efficient and fastest 2.5 model yet. Optimized for high-volume, low-latency tasks.

Gemini 2.5 Pro - Advanced reasoning and capabilities for complex tasks. Generally available version.

Gemini 1.5 Pro Experiment 0801 delivers enhanced performance with experimental features.

Gemini 1.5 Pro Experiment 0827 delivers enhanced performance with experimental features.

Multimodal understanding. Realtime streaming. Native tool use.

Gemini 2.0 Flash Lite - Ultra-fast, lightweight model optimized for high-volume, low-latency tasks. Ideal for simple operations at scale.

Gemini most cost-efficient model yet

Multimodal understanding. Reasoning. Coding

Our most intelligent model built for speed, combining frontier intelligence with superior search and grounding.

Gemini 3 Pro Preview - Advanced reasoning and capabilities for complex tasks. Preview version.

Meta Llama 3.3 70B versatile model with extended 128k context window, offering state-of-the-art performance for a wide range of tasks.

Llama Prompt Guard 2 is Meta's specialized classifier model designed to detect and prevent prompt attacks in LLM applications. Part of Meta's Purple Llama initiative, this 86M parameter model identifies malicious inputs like prompt injections and jailbreaks across multiple languages. The model provides efficient, real-time protection while maintaining low latency and compute costs.

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.

Kimi K2 0905 is Moonshot AI's latest improved version of the Kimi K2 model, featuring enhanced coding capabilities with superior frontend development and tool calling performance.

OpenAI GPT-OSS 120B model with 131k context window and ~500 tokens/sec speed. Supports reasoning, browser search, and code execution. Preview model not recommended for production.

OpenAI GPT-OSS 20B model with 131k context window and ~1000 tokens/sec speed. Supports reasoning, browser search, and code execution. Preview model not recommended for production.

Gemma 2 9B is a lightweight, state-of-the-art model from Google, offering strong performance for a variety of text generation tasks with an 8k context window.

Meta Llama 3.1 70B versatile model with extended context window

Llama 4 Maverick is a multimodal, multilingual, mixture of experts model with 17Bx128E parameters. Optimized for agentic use cases with enhanced reasoning capabilities.

Llama Guard 4 12B is Meta's latest safety classifier model designed to detect harmful content in both user inputs and model outputs. Supports 128k context window.

Mistral Saba 24B is a specialized language model for the Middle East & South Asia, offering strong performance with a 32k context window.

Qwen3 32B is a large language model with 131k context window, offering strong multilingual capabilities and reasoning performance.

OpenAI Whisper Large v3 model for speech-to-text transcription. State-of-the-art performance on multilingual transcription tasks.

OpenAI Whisper Large v3 Turbo model. Optimized for faster transcription with minimal quality loss compared to the standard v3 model.

Multimodal embedding models for images and English text

Multilingual Multimodal embeddings for texts and images

Optimized for code and docstring search

Frontier multilingual embedding model with SOTA performance

Our first reranker model maximizing search and RAG relevance

German-English bilingual embeddings with SOTA performance

On par with OpenAI's text-embedding-ada002

Spanish-English bilingual embeddings with SOTA performance

Chinese-English bilingual embeddings with SOTA performance

The fastest reranker model, best suited for ranking a large number of documents reliably

The best combination of fast inference speed and accurate relevance scores

The latest and best reranker model with multilingual, function calling and code search support.

The next phase of the core Leonardo model. Stunning outputs, even with short prompts.

A model with a strong focus on cinematic outputs. Excels at wider aspect ratios

High-speed generalist image gen model. Great at everything from photorealism to painterly styles.

A versatile model that excels at realism and photography. Better results with longer prompts.

Our frontier-class multimodal reasoning model update of September 2025.

Our frontier-class reasoning model release candidate September 2025.

Our efficient reasoning model released September 2025.

The largest model in the Ministral 3 family with state-of-the-art capabilities comparable to Mistral Small 3.2 24B.

World's best edge model.

The smallest and most efficient model in the Ministral 3 family, optimized for edge deployment.

Powerful edge model with extremely high performance/price ratio.

Our state-of-the-art semantic for extracting representation of code extracts

Our top-tier reasoning model for high-complexity tasks with the lastest version released November 2024.

Flagship open-weight multimodal model with 41B active parameters and 675B total parameters. Our top-tier reasoning model for high-complexity tasks.

Our frontier-class multimodal model released May 2025.

Update on Mistral Medium 3 with improved capabilities.

Mistral Medium balances state-of-the-art performance with 8X lower cost and simpler deployability. Designed for professional use cases, especially coding and multimodal understanding. Performs at or above 90% of Claude Sonnet 3.7 on benchmarks.

Our latest enterprise-grade small model with the latest version released June 2025.

Mistral Small is a leader in the small models category, offering excellent performance for general-purpose text tasks. Latest version with 128k context window and multimodal capabilities including image understanding.

A 12B model with image understanding capabilities in addition to text.

Official pixtral-large-2411 Mistral AI model

Context length 128k, MoE architecture base model with 1T total parameters, 32B activated parameters. Features powerful code and Agent capabilities.

Context length 256k, enhanced Agentic Coding capabilities, front-end code aesthetics and practicality, and context understanding capabilities based on the 0711 version.

K2 Long-term thinking model, supports 256k context, supports multi-step tool usage and reasoning, excels at solving more complex problems.

K2 Long-term thinking model high-speed version, supports 256k context, excels at deep reasoning, output speed increased to 60-100 tokens per second.

High-speed version of K2, benchmarking against the latest version (0905). Output speed increased to 60-100 tokens per second, context length 256k.

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

Outperform GPT-4o and GPT-4o mini across the board, with major gains in coding and instruction following. They also have larger context windows—supporting up to 1 million tokens of context—and are able to better use that context with improved long-context comprehension

GPT-4o ("o" for "omni") is our most advanced model. It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient—it generates text 2x faster and is 50% cheaper. Additionally, GPT-4o has the best vision and performance across non-English languages.

GPT-4o mini is our most cost-efficient small model that's smarter and cheaper than GPT-3.5 Turbo, and has vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

GPT-5 is designed for advanced logic and multi-step tasks. It excels at complex reasoning, planning, and solving problems that require multiple interconnected steps.

GPT-5 Chat points to the GPT-5 snapshot currently used in ChatGPT. We recommend GPT-5 for most API usage, but feel free to use this GPT-5 Chat model to test our latest improvements for chat use cases.

GPT-5-mini is a lightweight version of GPT-5 optimized for cost-sensitive applications. It maintains strong reasoning capabilities while being more economical for high-volume use cases.

GPT-5-nano is optimized for speed and ideal for applications requiring low latency. It delivers rapid responses while maintaining quality for real-time applications.

The best model for coding and agentic tasks with configurable reasoning effort.