Mistral API pricing
39 Mistral models live through one API key and one balance, priced per million tokens.
Every Mistral model below is callable right now through Rapid Router with one API key. The price next to each model is the provider's list price per million tokens; it is exactly what your balance is debited. Our platform fee is charged once, when you buy credits, so there is nothing added per request.
To use a Mistral model, point the OpenAI SDK (or any OpenAI-compatible client) at https://rapidrouter.ai/api/v1, set the model string to the id shown in grey, and send the same request you send today.
Mistral code model for low-latency completion, fill-in-the-middle, and code generation
Mistral code model for completions, refactors, and developer IDE workflows
Mistral's coding-agent model for repository work, terminal tasks, and software fixes
Legacy model retained for compatibility with older integrations
Legacy model retained for compatibility with older integrations
Open vision-language model for efficient local deployment, instruction following, and tool use
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact open vision-language model for edge deployment, instruction following, and tool use
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact open vision-language model for edge deployment, instruction following, and tool use
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Mistral 7B Instruct is a compact, 7B parameter model optimized for fast and efficient text and code generation with a 32K token context window.
Mistral-7B-Instruct-v0.3 model is a fine-tuned version of the Mistral 7B base model, optimized for instruction-following tasks. Released in 2023, it is intended for demonstration purposes and does not include built-in guardrails or moderation features.
Mistral-7B-Instruct-v0.3 model is a fine-tuned version of the Mistral 7B base model, optimized for instruction-following tasks. Released in 2023, it is intended for demonstration purposes and does not include built-in guardrails or moderation features.
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
Balanced Mistral model for enterprise assistants, multilingual work, and tools
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
Balanced Mistral model for enterprise assistants, multilingual work, and tools
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
Mistral Medium 3.5 is a 128B dense open-weights flagship model for instruction-following, reasoning, coding, long-horizon agentic work, tool use, structured output, and multimodal prompts. It supports a 256k context window and configurable reasoning effort.
Mistral Medium 3.5 is a 128B dense open-weights flagship model for instruction-following, reasoning, coding, long-horizon agentic work, tool use, structured output, and multimodal prompts. It supports a 256k context window and configurable reasoning effort.
Balanced Mistral model for enterprise assistants, multilingual work, and tools
Efficient Mistral-NVIDIA open model for multilingual chat and local deployment
Efficient Mistral-NVIDIA open model for multilingual chat and local deployment
Efficient Mistral model for fast chat, extraction, and production assistants
Efficient Mistral model for fast chat, extraction, and production assistants
Fast Mistral production model for chat, extraction, and cost-sensitive agents
Efficient multimodal model for instruction following, coding, reasoning, and function calling
Efficient multimodal model for instruction following, coding, reasoning, and function calling
Efficient Mistral model for fast chat, extraction, and production assistants
Efficient Mistral model for fast chat, extraction, and production assistants
Reasoning model for deliberate analysis, multi-step problem solving, and tool use
Instruct model with native audio input for speech understanding and tool use
Instruct model with native audio input for speech understanding and tool use
Efficient Mistral model for fast chat, extraction, and production assistants