Mistral Medium 3 is a SOTA & versatile model designed for a wide range of tasks, including programming, mathematical reasoning, understanding long documents, summarization, and dialogue. It boasts multi-modal capabilities, enabling it to process visual inputs, and supports dozens of languages, including over 80 coding languages. Additionally, it features function calling and agentic workflows. Mistral Medium 3 is optimized for single-node inference, particularly for long-context applications. Its size allows it to achieve high throughput on a single node.
AIHubMix Mistral Medium vs AIHubMix Codestral 2501
Compare AIHubMix Mistral Medium from Mistral and AIHubMix Codestral 2501 from Mistral on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
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Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: AIHubMix Mistral Medium, AIHubMix Codestral 2501?
AIHubMix Codestral 2501: $1.2/M output tokens; AIHubMix Mistral Medium: $2/M. Use the cost calculator above to estimate your own workload.
Can I call AIHubMix Mistral Medium and AIHubMix Codestral 2501 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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