Mistral AI Ministral 8B

Ministral 8B by Mistral AI excels in the Coding category, where it ranks #386 with a composite score of 37/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Ministral 8B is priced at $0.11 per million input tokens and $0.11 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Ministral 8B holds rank #386 out of 399 models tracked. Its quality rank is #386 and adoption rank is #386. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Ministral 8B has been evaluated across 5 different signals. Its strongest areas include Capabilities (33/100), Pricing (100/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 37/100 reflects a weighted combination of all tracked signals.

Ministral 8B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.

Ministral 8B supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Ministral 8B supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Ministral 8B was developed by Mistral AI. It was released on October 17, 2024. You can access it through Mistral AI's API. Check our provider page for all models from Mistral AI and how they compare against each other.

Pick Ministral 8B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Ministral 8B through Mistral AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.