Model Library

Claude 3 Opus is Anthropic's most intelligent model, with best-in-market performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding. Opus shows us the outer limits of what's possible with generative AI.

Claude 3.5 Sonnet strikes the ideal balance between intelligence and speed—particularly for enterprise workloads. It delivers strong performance at a lower cost compared to its peers, and is engineered for high endurance in large-scale AI deployments.

Claude 3 Haiku is Anthropic's fastest model yet, designed for enterprise workloads which often involve longer prompts. Haiku to quickly analyze large volumes of documents, such as quarterly filings, contracts, or legal cases, for half the cost of other models in its performance tier.

Claude 3.5 Haiku is the next generation of our fastest model. For a similar speed to Claude 3 Haiku, Claude 3.5 Haiku improves across every skill set and surpasses Claude 3 Opus, the largest model in our previous generation, on many intelligence benchmarks.

Claude 3.7 Sonnet is the first hybrid reasoning model and Anthropic's most intelligent model to date. It delivers state-of-the-art performance for coding, content generation, data analysis, and planning tasks, building upon its predecessor Claude 3.5 Sonnet's capabilities in software engineering and computer use.

Claude 3.7 Sonnet is the first hybrid reasoning model and Anthropic's most intelligent model to date. It delivers state-of-the-art performance for coding, content generation, data analysis, and planning tasks, building upon its predecessor Claude 3.5 Sonnet's capabilities in software engineering and computer use.

A highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.

A very low cost multimodal model that is lightning fast for processing image, video, and text inputs.

A text-only model that delivers the lowest latency responses at very low cost.

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 or advanced reasoning. Claude 3.7 Sonnet is state-of-the-art for coding, and delivers advancements in computer use, agentic capabilities, complex reasoning, and content generation. With frontier performance and more control over speed, Claude 3.7 Sonnet is the ideal choice for powering AI agents, especially customer-facing agents, and complex AI workflows.

Claude 3 Haiku is Anthropic's fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed. Customers will be able to build seamless AI experiences that mimic human interactions. Claude 3 Haiku can process images and return text outputs, and features a 200K context window.

The upgraded Claude 3.5 Sonnet is now state-of-the-art for a variety of tasks including real-world software engineering, agentic capabilities and computer use. The new Claude 3.5 Sonnet delivers these advancements at the same price and speed as its predecessor.

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 Haiku is Anthropic's fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed. Customers will be able to build seamless AI experiences that mimic human interactions. Claude 3 Haiku can process images and return text outputs, and features a 200K context window.

As a general purpose LLM, Llama 4 Maverick contains 17 billion active parameters, 128 experts, and 400 billion total parameters, offering high quality at a lower price compared to Llama 3.3 70B.

Llama 4 Scout is the best multimodal model in the world in its class and is more powerful than our Llama 3 models, while fitting in a single H100 GPU. Additionally, Llama 4 Scout supports an industry-leading context window of up to 10M tokens.

Where performance meets efficiency. This model supports high-performance conversational AI designed for content creation, enterprise applications, and research, offering advanced language understanding capabilities, including text summarization, classification, sentiment analysis, and code generation.

Instruction-tuned image reasoning generative model (text + images in / text out) optimized for visual recognition, image reasoning, captioning and answering general questions about the image.

Text-only model, supporting on-device use cases such as multilingual local knowledge retrieval, summarization, and rewriting.

Text-only model, fine-tuned for supporting on-device use cases such as multilingual local knowledge retrieval, summarization, and rewriting.

Instruction-tuned image reasoning generative model (text + images in / text out) optimized for visual recognition, image reasoning, captioning and answering general questions about the image.

An update to Meta Llama 3 70B Instruct that includes an expanded 128K context length, multilinguality and improved reasoning capabilities.

An update to Meta Llama 3 8B Instruct that includes an expanded 128K context length, multilinguality and improved reasoning capabilities.

DeepSeek-R1 provides customers a state-of-the-art reasoning model, optimized for general reasoning tasks, math, science, and code generation.

The Llama-4-Scout-17B-16E-Instruct model is a state-of-the-art, instruction-tuned, multimodal AI model developed by Meta as part of the Llama 4 family. It is designed to handle both text and image inputs, making it suitable for a wide range of applications, including conversational AI, code generation, and visual reasoning.

Llama 3.1 8B brings powerful performance in a smaller, more efficient package. With improved multilingual support, tool use, and a 128K context length, it enables sophisticated use cases like interactive agents and compact coding assistants while remaining lightweight and accessible.

The upgraded Llama 3.1 70B model features enhanced reasoning, tool use, and multilingual abilities, along with a significantly expanded 128K context window. These improvements make it well-suited for demanding tasks such as long-form summarization, multilingual conversations, and coding assistance.

DeepSeek-R1 is a state-of-the-art reasoning model trained with reinforcement learning and cold-start data, delivering strong performance across math, code, and complex reasoning tasks. It offers improved stability, readability, and multilingual handling compared to earlier versions, and is available alongside several high-quality distilled variants.

Qwen3-32B is a world-class model with comparable quality to DeepSeek R1 while outperforming GPT-4.1 and Claude Sonnet 3.7. It excels in code-gen, tool-calling, and advanced reasoning, making it an exceptional model for a wide range of production use cases.

Command A is Cohere's 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 R+ is Cohere's newest large language model, optimized for conversational interaction and long-context tasks. It aims at being extremely performant, enabling companies to move beyond proof of concept and into production.

Command R is a large language model optimized for conversational interaction and long context tasks. It targets the "scalable" category of models that balance high performance with strong accuracy, enabling companies to move beyond proof of concept and into production.

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. Llama 4 Maverick, a 17 billion parameter model with 128 experts. Served by DeepInfra.

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. Llama 4 Scout, a 17 billion parameter model with 16 experts. Served by DeepInfra.

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

DeepSeek-V3 is an open-source large language model that builds upon LLaMA (Meta's foundational language model) to enable versatile functionalities such as text generation, code completion, and more, served by Fireworks AI.

DeepSeek Reasoner is a specialized model developed by DeepSeek that uses Chain of Thought (CoT) reasoning to improve response accuracy. Before providing a final answer, it generates detailed reasoning steps that are accessible through the API, allowing users to examine and leverage the model's thought process, served by Fireworks AI.

Fireworks' GPT-4-level function calling model - 4x faster than GPT-4 and open weights.

8x22b Instruct model. 8x22b is mixture-of-experts open source model by Mistral served by Fireworks.

Mistral MoE 8x7B Instruct v0.1 model with Sparse Mixture of Experts. Fine tuned for instruction following.Warning: unofficial implementation + served by Fireworks.

QwQ-32B is a 32B parameter open-source model that uses Reinforcement Learning to enhance reasoning capabilities for coding and mathematical tasks, achieving performance comparable to much larger models.

Qwen3 235B with 22B active parameter model.

The Llama 3.2, 1 billion parameter multi-lingual text only model is made by Meta. It is lightweight and can be run everywhere on mobile and on edge devices. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

The Meta Llama 3.3 multilingual model is a pretrained and instruction tuned generative model with 70B parameters. Optimized for multilingual dialogue use cases, it outperforms many of the available open source and closed chat models on common industry benchmarks. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Llama 3.1 8B with 128K context window support, making it ideal for real-time conversational interfaces and data analysis while offering significant cost savings compared to larger models. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Llama is a 8 billion parameter open source model by Meta fine-tuned for instruction following purposes. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Llama is a 70 billion parameter open source model by Meta fine-tuned for instruction following purposes. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

9 billion parameter open source model by Google fine-tuned for chat purposes. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

DeepSeek-R1-Distill-Llama-70B is a distilled, more efficient variant of the 70B Llama model. It preserves strong performance across text-generation tasks, reducing computational overhead for easier deployment and research. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Mistral Saba 24B is a 24 billion parameter open source model by Mistral.ai. Saba is a specialized model trained to excel in Arabic, Farsi, Urdu, Hebrew, and Indic languages. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Qwen QWQ-32B is a powerful large language model with strong reasoning capabilities and versatile applications across various tasks. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Llama 4 Scout is Meta's natively multimodal model with a 17B parameter mixture-of-experts architecture (16 experts), offering exceptional performance across text and image understanding with support for 12 languages, optimized for assistant-like chat, image recognition, and coding tasks. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Mercury Coder Small is ideal for code generation, debugging, and refactoring tasks with minimal latency.

Mistral Large is ideal for complex tasks that require large reasoning capabilities or are highly specialized - like Synthetic Text Generation, Code Generation, RAG, or Agents.

Mistral Small is the ideal choice for simple tasks that one can do in bulk - like Classification, Customer Support, or Text Generation. It offers excellent performance at an affordable price point.

Mistral Codestral 25.01 is a state-of-the-art coding model optimized for low-latency, high-frequency use cases. Proficient in over 80 programming languages, it excels at tasks like fill-in-the-middle (FIM), code correction, and test generation.

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

A compact, efficient model for on-device tasks like smart assistants and local analytics, offering low-latency performance.

A more powerful model with faster, memory-efficient inference, ideal for complex workflows and demanding edge applications.

Pixtral Large is the second model in our multimodal family and demonstrates frontier-level image understanding. Particularly, the model is able to understand documents, charts and natural images, while maintaining the leading text-only understanding of Mistral Large 2.

Mistral Small 3.1 is a state-of-the-art multimodal and multilingual model with excellent benchmark performance while delivering 150 tokens per second inference speeds and supporting up to 128k context window.

o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini.

OpenAI's o3 is their most powerful reasoning model, setting new state-of-the-art benchmarks in coding, math, science, and visual perception. It excels at complex queries requiring multi-faceted analysis, with particular strength in analyzing images, charts, and graphics.

OpenAI's o4-mini delivers fast, cost-efficient reasoning with exceptional performance for its size, particularly excelling in math (best-performing on AIME benchmarks), coding, and visual tasks.

GPT 4.1 is OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains.

GPT 4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

GPT-4.1 nano is the fastest, most cost-effective GPT 4.1 model.

GPT-4o from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It matches GPT-4 Turbo performance with a faster and cheaper API.

GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.

gpt-4-turbo from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It has a knowledge cutoff of April 2023 and a 128,000 token context window.

OpenAI's most capable and cost effective model in the GPT-3.5 family optimized for chat purposes, but also works well for traditional completions tasks.

Similar capabilities as GPT-3 era models. Compatible with legacy Completions endpoint and not Chat Completions.

Perplexity's lightweight offering with search grounding, quicker and cheaper than Sonar Pro.

Perplexity's premier offering with search grounding, supporting advanced queries and follow-ups.

A reasoning-focused model that outputs Chain of Thought (CoT) in responses, providing detailed explanations with search grounding.

A premium reasoning-focused model that outputs Chain of Thought (CoT) in responses, providing comprehensive explanations with enhanced search capabilities and multiple search queries per request.

A highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.

The upgraded Claude 3.5 Sonnet is now state-of-the-art for a variety of tasks including real-world software engineering, enhanced agentic capabilities, and computer use.

Claude 3.5 Haiku, Anthropic’s fastest and most cost-effective model, excels at use cases like code and test case generation, sub-agents, and user-facing chatbots.

Claude 3 Opus is a powerful AI model, with top-level performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding.

Claude 3 Haiku is Anthropic's fastest vision and text model for near-instant responses to simple queries, meant for seamless AI experiences mimicking human interactions.

Claude 3.5 Sonnet outperforms Claude 3 Opus on a wide range of Anthropic’s evaluations with the speed and cost of Anthropic’s mid-tier model, Claude 3 Sonnet.

Gemini 2.0 Flash delivers next-gen features and improved capabilities, including superior speed, built-in tool use, multimodal generation, and a 1M token context window.

Gemini 2.0 Flash delivers next-gen features and improved capabilities, including superior speed, built-in tool use, multimodal generation, and a 1M token context window.

Llama 4 Scout 17B 16E Instruct is a multimodal model that uses the Mixture-of-Experts (MoE) architecture and early fusion, delivering state-of-the-art results for its size class.

Llama 4 Maverick 17B-128E is Llama 4's largest and most capable model. It uses the Mixture-of-Experts (MoE) architecture and early fusion to provide coding, reasoning, and image capabilities.

Grok 2 is a frontier language model with state-of-the-art reasoning capabilities. It features advanced capabilities in chat, coding, and reasoning, outperforming both Claude 3.5 Sonnet and GPT-4-Turbo on the LMSYS leaderboard.

Grok 2 vision model excels in vision-based tasks, delivering state-of-the-art performance in visual math reasoning (MathVista) and document-based question answering (DocVQA). It can process a wide variety of visual information including documents, diagrams, charts, screenshots, and photographs.

xAI's flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.

xAI's flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. The fast model variant is served on faster infrastructure, offering response times that are significantly faster than the standard. The increased speed comes at a higher cost per output token.

xAI's lightweight model that thinks before responding. Great for simple or logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.

xAI's lightweight model that thinks before responding. Great for simple or logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible. The fast model variant is served on faster infrastructure, offering response times that are significantly faster than the standard. The increased speed comes at a higher cost per output token.