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Mistral Medium 3.5OPEN
Mistral Medium 3.5 (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
Benchmarks & performance
Independent benchmark scores for Mistral Medium 3.5, measured by Artificial Analysis. Higher is better.
About this model
Mistral Medium 3.5 is an open-weight AI model by Mistral AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Mistral Medium 3.5?
Mistral Medium 3.5 is an AI language model from Mistral AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 29.9 on the Artificial Analysis intelligence index.
Is Mistral Medium 3.5 free?
The weights are free and open — you can self-host Mistral Medium 3.5 and pay nothing per token. If you prefer a hosted API, list prices are $1.5 per million input tokens and $7.5 per million output tokens.
What is Mistral Medium 3.5 good at?
Independent benchmarks from Artificial Analysis give it GPQA 74.8%, Humanity's Last Exam 12.8%, Long Context Reasoning 61%, SciCode 39.6%, IFBench 68.8%, τ²-Bench 94.2%, τ-Bench Banking 14.4%, Terminal-Bench 50.6%, Terminal-Bench Hard 33.3%. It is particularly used for code generation.
How fast is Mistral Medium 3.5?
It generates about 70.2 tokens per second, with a median 0.77s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Mistral Medium 3.5?
Yes. Mistral Medium 3.5 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.
Open-source alternatives
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.