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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
Affordable GPT-4.1 lane for fast coding help and structured extraction
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
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...
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
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/)....
Small omni GPT for cheap multimodal assistance and production-scale traffic
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
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...
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/)....
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,...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| OpenAI: o3 Mini Highopenai/o3-mini-high | 11.0 | 200K | $1.1 | $4.4 | — | |||
| Gemini 2.5 Flash-Litegoogle/gemini-2.5-flash-lite | 10.4 | 1.04858M | $0.1 | $0.4 | 2025-06-17 | |||
| Google: Gemini 2.5 Flash Lite (batch)google/gemini-2.5-flash-lite:batch | 10.4 | 1.04858M | $0.05 | $0.2 | — | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 10.2 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 10.2 | 1.04758M | $0.2 | $0.8 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 9.3 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 9.3 | 262.144K | $0.25 | $0.75 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 9.2 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 9.2 | 131.072K | $0.2 | $1 | — | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 9.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Devstral 2 2512mistralai/devstral-2512 | 8.6 | 262.144K | $0.4 | $2 | — | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 7.8 | 1.04758M | $0.05 | $0.2 | — | |||
| Mistral Large 2407mistralai/mistral-large-2407 | 7.6 | 131.072K | $2 | $6 | — | |||
| GPT-4o miniopenai/gpt-4o-mini | 6.7 | 128K | $0.15 | $0.6 | 2024-07-18 | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 6.7 | 128K | $0.075 | $0.3 | — | |||
| Mistral: Sabamistralai/mistral-saba | 6.5 | 32.768K | $0.2 | $0.6 | — | |||
| Mistral Largemistralai/mistral-large | 5.8 | 128K | $2 | $6 | — | |||
| Mistral: Mixtral 8x22B Instructmistralai/mixtral-8x22b-instruct | 5.7 | 65.536K | $2 | $6 | — |