Mistral Medium 3.5 pricing and specs

Input costs $1.5 per 1M tokens (127 ₽) and output costs $7.5 per 1M (634 ₽). Mistral bills the prompt and the completion separately, so the price of a call depends on how long both are. Ruble figures use the Bank of Russia rate of 84.51 ₽ per dollar for September 2026.

List prices are quoted per 1M tokens, so 1,000 tokens cost a thousandth of that: divide $1.5 for input and $7.5 for output by 1,000. The same rates in rubles are 127 ₽ and 634 ₽ per 1M tokens. Both prompt tokens and completion tokens are billed.

The Mistral Medium 3.5 context window is 262K tokens (262,144). Everything shares that budget: the system prompt, the dialogue history, attached files and the answer the model writes. The figure comes from the Mistral model card as of September 2026.

The context window is 262K tokens (262,144) and a single response is capped at 262K tokens, so longer output has to be generated in parts. Rate limits are set by Mistral per account and depend on your plan rather than on the model, so they are not listed here.

Providers quote their tariffs in US dollars, so the ruble amounts here are a conversion at the official Bank of Russia rate of 84.51 ₽ per dollar. For Mistral Medium 3.5 that gives 127 ₽ per 1M input tokens and 634 ₽ per 1M output tokens. When the rate moves, the ruble price moves with it.

Mistral Medium 3.5 belongs to the Mistral Medium family at Mistral. Models in the Mistral line differ in context size, price per 1M tokens and supported capabilities, so compare them by the numbers on their cards rather than by the name. Every Mistral model is listed on the provider page.

Yes, Mistral Medium 3.5 declares a reasoning mode: it works through intermediate steps before it answers. Those steps add output tokens, so a call with a long reasoning chain costs more and takes longer than a plain completion. Capabilities declared for the model: reasoning, tool calling, image input, structured output.

The declared capabilities of Mistral Medium 3.5 are: reasoning, tool calling, image input, structured output. It accepts text, images as input, and every attachment consumes tokens from the shared context window of 262K tokens. The list comes from the Mistral model card and is refreshed with the catalog as of September 2026.

Yes, Mistral Medium 3.5 ships with open weights, so it can be downloaded and served on your own hardware instead of being used only through the Mistral API. What you may do with it is set by the license shown on the card. Catalog prices cover hosted API access.