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Mistral: Ministral 8B

mistralai/ministral-8b

Created Oct 17, 2024131,072 context
$0.10/M input tokens$0.10/M output tokens

Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length and excels in knowledge and reasoning tasks. It outperforms peers in the sub-10B category, making it perfect for low-latency, privacy-first applications.

Providers for Ministral 8B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Ministral 8B

Compare different providers across OpenRouter

Apps using Ministral 8B

Top public apps this month

Recent activity on Ministral 8B

Total usage per day on OpenRouter

Prompt
41M
Completion
35.7M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Ministral 8B

Uptime stats for Ministral 8B across all providers

Sample code and API for Ministral 8B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.