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Model registry / Mistral AI / Mistral Medium / Mistral Medium 3.1

Mistral Medium 3.1

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Line

Mistral Medium

Weights

API only

Released

2025-08-12

Context

262K

Input

$0.40 / 1M

Output

$2.00 / 1M

Max output

262K

Coverage

not covered yet

Overview

Mistral Medium 3.1 is a Mistral AI model for multilingual chat, reasoning, and tool-assisted workflows. It is the first version of the mistral-medium line in the registry. It has a context window of 262144 tokens and a max output of 262144 tokens. Pricing starts at $0.40 per million input tokens and $2.00 per million output tokens. Weights are not open. It accepts image and text inputs, returns text, and supports tool calling. It does not have a reasoning mode.

Specs

Released2025-08-12
LineMistral AI · Mistral Medium
WeightsAPI only
Context262K tokens
Max output262K tokens
Inputimage, text
Outputtext
ReasoningNo
Tool callingYes
Knowledge cutoff2025-05
API idmistral-medium-2508

Pricing

Input$0.40 / 1M tokens
Cached inputnot stated
Output$2.00 / 1M tokens

First version of its line in the registry.

Strengths

  • Multilingual chat and reasoning
  • Tool-assisted workflows
  • 262k token context window
  • 262k token max output
  • Accepts image and text inputs

Best for

  • Reach for it for multilingual chat and reasoning tasks
  • Reach for it for tool-assisted workflows
  • Reach for it for processing long documents with 262k context
  • Reach for it for tasks needing image and text input

How to access

ProviderModel id
Mistralmistral-medium-2508

1 host serve this model at the price above · the maker's documentation

Mistral Medium: every version

VersionReleasedContextInput
Mistral MediumCurrent2026-04-29262K$0.40
Mistral Medium 3.52026-04-29262K$1.50
Mistral Medium 3.12025-08-12262K$0.40

The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.

FAQ

What is the context window size?
The context window is 262144 tokens, and the max output is also 262144 tokens.
Does it support tool calling?
Yes, it supports tool calling.
Are the weights open?
No, the weights are not open.
Proprietary262K context