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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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,...
Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal
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/)....
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...
The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on...
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
KAT-Coder-Air V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...
KAT-Coder-Pro V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| OpenAI: GPT-4o-mini (2024-07-18)openai/gpt-4o-mini-2024-07-18 | 128K | $0.15 | $0.6 | — | |||
| Mistral: Mixtral 8x22B Instructmistralai/mixtral-8x22b-instruct | 65.536K | $2 | $6 | — | |||
| Anthropic: Claude 3 Haikuanthropic/claude-3-haiku | 200K | $0.25 | $1.25 | — | |||
| Mistral Largemistralai/mistral-large | 128K | $2 | $6 | — | |||
| OpenAI: GPT-3.5 Turbo (older v0613)openai/gpt-3.5-turbo-0613 | 4.095K | $1 | $2 | — | |||
| OpenAI: GPT-4 Turbo Previewopenai/gpt-4-turbo-preview | 128K | $10 | $30 | — | |||
| Auto Routeropenrouter/auto | 2M | — | — | — | |||
| OpenAI: GPT-3.5 Turbo Instructopenai/gpt-3.5-turbo-instruct | 4.095K | $1.5 | $2 | — | |||
| OpenAI: GPT-3.5 Turbo 16kopenai/gpt-3.5-turbo-16k | 16.385K | $3 | $4 | — | |||
| Kwaipilot: KAT-Coder-Air V2.5kwaipilot/kat-coder-air-v2.5 | 256K | $0.15 | $0.6 | — | |||
| Kwaipilot: KAT-Coder-Pro V2.5kwaipilot/kat-coder-pro-v2.5 | 262.144K | $0.74 | $2.96 | — | |||
| meta-llama/Meta-Llama-3-8B-Instructmeta-llama/Meta-Llama-3-8B-Instruct | Not documented | — | — | — | |||
| meta-llama/Meta-Llama-3-70B-Instructmeta-llama/Meta-Llama-3-70B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-4-Maverick-17B-128E-Instructmeta-llama/Llama-4-Maverick-17B-128E-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-4-Scout-17B-16E-Instructmeta-llama/Llama-4-Scout-17B-16E-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-4-12Bmeta-llama/Llama-Guard-4-12B | Not documented | — | — | — | |||
| meta-llama/Llama-4-Maverick-17B-128Emeta-llama/Llama-4-Maverick-17B-128E | Not documented | — | — | — | |||
| meta-llama/Llama-4-Scout-17B-16Emeta-llama/Llama-4-Scout-17B-16E | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-90B-Vision-Instructmeta-llama/Llama-3.2-90B-Vision-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.3-70B-Instructmeta-llama/Llama-3.3-70B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-70B-Instructmeta-llama/Llama-3.1-70B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-11B-Vision-Instructmeta-llama/Llama-3.2-11B-Vision-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-3B-Instruct-QLORA_INT4_EO8meta-llama/Llama-3.2-3B-Instruct-QLORA_INT4_EO8 | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8meta-llama/Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8 | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8meta-llama/Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8 | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8 | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-3-11B-Visionmeta-llama/Llama-Guard-3-11B-Vision | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-1Bmeta-llama/Llama-3.2-1B | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-1B-Instructmeta-llama/Llama-3.2-1B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-3Bmeta-llama/Llama-3.2-3B | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-3B-Instructmeta-llama/Llama-3.2-3B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-8Bmeta-llama/Llama-3.1-8B | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-3-8Bmeta-llama/Llama-Guard-3-8B | Not documented | — | — | — | |||
| meta-llama/Meta-Llama-3-70Bmeta-llama/Meta-Llama-3-70B | Not documented | — | — | — | |||
| meta-llama/Meta-Llama-3-8Bmeta-llama/Meta-Llama-3-8B | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-90B-Visionmeta-llama/Llama-3.2-90B-Vision | Not documented | — | — | — | |||
| meta-llama/Llama-3.2-11B-Visionmeta-llama/Llama-3.2-11B-Vision | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-3-1Bmeta-llama/Llama-Guard-3-1B | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-3-1B-INT4meta-llama/Llama-Guard-3-1B-INT4 | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-405B-Instructmeta-llama/Llama-3.1-405B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-405Bmeta-llama/Llama-3.1-405B | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-70Bmeta-llama/Llama-3.1-70B | Not documented | — | — | — | |||
| meta-llama/Llama-3.1-8B-Instructmeta-llama/Llama-3.1-8B-Instruct | Not documented | — | — | — | |||
| meta-llama/Llama-Guard-3-8B-INT8meta-llama/Llama-Guard-3-8B-INT8 | Not documented | — | — | — | |||
| meta-llama/Meta-Llama-Guard-2-8Bmeta-llama/Meta-Llama-Guard-2-8B | Not documented | — | — | — | |||
| meta-llama/LlamaGuard-7bmeta-llama/LlamaGuard-7b | Not documented | — | — | — | |||
| meta-llama/Llama-2-70b-chat-hfmeta-llama/Llama-2-70b-chat-hf | Not documented | — | — | — | |||
| meta-llama/Llama-2-13b-chat-hfmeta-llama/Llama-2-13b-chat-hf | Not documented | — | — | — | |||
| meta-llama/Llama-2-7b-chat-hfmeta-llama/Llama-2-7b-chat-hf | Not documented | — | — | — | |||
| meta-llama/Llama-2-70b-hfmeta-llama/Llama-2-70b-hf | Not documented | — | — | — |