Mistral Medium 3.5: API price, context window and how to connect

Mistral Medium 3.5 by Mistral AI: $1.5 per million input tokens, $7.5 per million output tokens, a 262K-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

A dense 128-billion-parameter Mistral AI model that follows instructions well. It accepts text and images and is designed for agentic workflows, code and complex tasks.

Specifications#

Provider Mistral AI
Released 2026-04-30
Context window 262K tokens
Accepts text, images, files
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier mistralai/mistral-medium-3-5

Price#

Per 1M tokens In dollars
Input (question, context) $1.5
Output (answer) $7.5

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.135. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • Instruction following
  • Agentic workflows
  • Work with images

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
Grok 4.7 $2 $6 500K about the same
Kimi K3 $0.239 $11.936 1.05M 1.3× more expensive
GPT-6.1 Sol $2 $10 1.05M 1.3× more expensive
GPT-6.1 Sol Pro $2 $10 1.05M 1.3× more expensive
Claude Sonnet 5.5 $2 $10 1M 1.3× more expensive

Other Mistral AI models#

How to connect in SKILLOK#

Mistral Medium 3.5 works through OpenRouter: add an OpenRouter key in Settings → AI and pick the mistralai/mistral-medium-3-5 model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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