Mistral Medium
Official mistral-medium-latest Mistral AI model.
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262K
Max Output
262K
Parameters
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Frequently asked questions about Mistral Medium
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Mistral Medium advertises a context window of 262,144 tokens, with a maximum output of 262,144 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Mistral Medium is an open-weight model released under the Modified MIT License license, so the weights can be downloaded and self-hosted within that license's terms.
Mistral Medium accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Mistral Medium has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Mistral Medium is shown as not available rather than estimated.
Not on the managed pool today; Mistral Medium is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Mistral has not published a parameter count for Mistral Medium, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 11, 2026
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