Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
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 Llama 3.3 instruction tuned text only model...
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 Llama 3.3 instruction tuned text only model...
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 128K | $0.075 | $0.2 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | 1M | $0.55 | $2.2 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 200K | $3 | $15 | — | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 131.072K | $0.4 | $2 | — | |||
| Qwen: Qwen3 30B A3Bqwen/qwen3-30b-a3b | 40.96K | $0.12 | $0.5 | — | |||
| Qwen: Qwen3 8Bqwen/qwen3-8b | 131.072K | $0.117 | $0.455 | — | |||
| Qwen: Qwen3 14Bqwen/qwen3-14b | 40.96K | $0.12 | $0.24 | — | |||
| Qwen: Qwen3 32Bqwen/qwen3-32b | 40.96K | $0.08 | $0.28 | — | |||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | 131.072K | $0.455 | $1.82 | — | |||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 128K | $0.188 | $0.652 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 327.68K | $0.1 | $0.3 | — | |||
| Mistral: Sabamistralai/mistral-saba | 32.768K | $0.2 | $0.6 | — | |||
| OpenAI: o3 Mini Highopenai/o3-mini-high | 200K | $1.1 | $4.4 | — | |||
| Mistral: Mistral Small 3mistralai/mistral-small-24b-instruct-2501 | 32.768K | $0.05 | $0.08 | — | |||
| Meta: Llama 3.3 70B Instruct (free)meta-llama/llama-3.3-70b-instruct:free | 65.536K | Free | Free | — | |||
| Meta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instruct | 131.072K | $0.1 | $0.32 | — | |||
| Mistral Large 2407mistralai/mistral-large-2407 | 131.072K | $2 | $6 | — | |||
| Qwen2.5 Coder 32B Instructqwen/qwen-2.5-coder-32b-instruct | 32.768K | $0.66 | $1 | — | |||
| Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | 60K | $0.027 | $0.201 | — | |||
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | 131.072K | $0.05 | $0.33 | — | |||
| Qwen2.5 72B Instructqwen/qwen-2.5-72b-instruct | 32.768K | $0.36 | $0.4 | — | |||
| Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | 131.072K | $0.05 | $0.08 | — | |||
| Meta: Llama 3.1 70B Instructmeta-llama/llama-3.1-70b-instruct | 131.072K | $0.4 | $0.4 | — | |||
| Mistral: Mixtral 8x22B Instructmistralai/mixtral-8x22b-instruct | 65.536K | $2 | $6 | — | |||
| Mistral Largemistralai/mistral-large | 128K | $2 | $6 | — | |||
| Ling-3.0-flash (free)inclusionai/ling-3.0-flash:free | 262.144K | Free | Free | — | |||
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| Google: Gemini 3.5 Flash Lite (batch)google/gemini-3.5-flash-lite:batch | 1.04858M | $0.15 | $1.25 | — | |||
| Anthropic: Claude Sonnet 5 (batch)anthropic/claude-sonnet-5:batch | 1M | $1 | $5 | — | |||
| Anthropic: Claude Fable 5 (batch)anthropic/claude-fable-5:batch | 1M | $5 | $25 | — | |||
| MiniMax: MiniMax M3 (batch)minimax/minimax-m3:batch | 524.288K | $0.3 | $1.2 | — | |||
| Anthropic: Claude Opus 4.8 (batch)anthropic/claude-opus-4.8:batch | 1M | $2.5 | $12.5 | — | |||
| Google: Gemini 3.5 Flash (batch)google/gemini-3.5-flash:batch | 1.04858M | $0.75 | $4.5 | — | |||
| OpenAI: GPT-5.5 (batch)openai/gpt-5.5:batch | 1.05M | $2.5 | $15 | — | |||
| Anthropic: Claude Opus 4.7 (batch)anthropic/claude-opus-4.7:batch | 1M | $2.5 | $12.5 | — | |||
| OpenAI: GPT-5.4 Nano (batch)openai/gpt-5.4-nano:batch | 400K | $0.1 | $0.625 | — | |||
| OpenAI: GPT-5.4 Mini (batch)openai/gpt-5.4-mini:batch | 400K | $0.375 | $2.25 | — | |||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | 1.05M | $1.25 | $7.5 | — | |||
| Google: Gemini 3.1 Pro Preview (batch)google/gemini-3.1-pro-preview:batch | 1.04858M | $1 | $6 | — | |||
| Anthropic: Claude Opus 4.6 (batch)anthropic/claude-opus-4.6:batch | 1M | $2.5 | $12.5 | — | |||
| Google: Gemini 3 Flash Preview (batch)google/gemini-3-flash-preview:batch | 1.04858M | $0.25 | $1.5 | — | |||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | 400K | $0.875 | $7 | — | |||
| Anthropic: Claude Opus 4.5 (batch)anthropic/claude-opus-4.5:batch | 200K | $2.5 | $12.5 | — | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 400K | $0.625 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 200K | $0.5 | $2.5 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1M | $1.5 | $7.5 | — | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 400K | $0.625 | $5 | — | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 400K | $0.125 | $1 | — | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 400K | $0.025 | $0.2 | — |