Mistral Large 4: API price, context window and how to connect

Mistral Large 4 by Mistral AI: $0.68 per million input tokens, $2.09 per million output tokens, a 1.05M-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#

Mistral AI's (France) flagship multimodal model for reasoning, code and agentic workloads. It accepts text and images, with a 1-million-token window.

Specifications#

Provider Mistral AI
Released 2026-10-06
Context window 1.05M tokens
Accepts text, images
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier mistralai/mistral-large-4-0

Price#

Per 1M tokens In dollars
Input (question, context) $0.68
Output (answer) $2.09

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.04. 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#

  • A European flagship for reasoning
  • Code and agents
  • Long documents

Similar models#

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

Model Input Output Window Price
DeepSeek V4 Pro 0423 $0.955 $1.911 1.05M about the same
Devstral 2 2512 $0.4 $2 262K 1.2× cheaper
Qwen3.8 27B $0.24 $2.2 1M 1.2× cheaper
Kimi K2.7 Code $0.671 $3.35 262K 1.4× more expensive
Grok 4.3 $1.25 $2.5 1M 1.4× more expensive

Other Mistral AI models#

How to connect in SKILLOK#

Mistral Large 4 works through OpenRouter: add an OpenRouter key in Settings → AI and pick the mistralai/mistral-large-4-0 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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