Mistral Medium 3.5

Pricing updated daily · Last refreshed Oct 29, 2026

Mistral model with a 262K-token context window, priced at $1.50 per million input tokens and $7.50 per million output tokens.

At a glance

Provider
Mistral
Context window
262,144 tokens
Max output
209,715 tokens
Input price
$1.50 / 1M tokens
Output price
$7.50 / 1M tokens
Input types
text, image
Function calling
Yes
Released
April 30, 2026

What it costs

Illustrative request sizes, not measurements of any real product. For your own volumes, use the cost estimator.

Example costs for Mistral Medium 3.5
WorkloadTokens in / outPer requestPer 1,000 requests
Short chat reply1,000 / 500$0.0052$5.25
Question over retrieved documents8,000 / 500$0.0158$15.75
Summarise a long document50,000 / 1,500$0.0863$86.25

How it compares

  • Input price ($1.50 per 1M tokens) is the 20th lowest of 30 models in the catalogue.
  • Output price ($7.50 per 1M tokens) is the 20th lowest of 30.
  • Context window (262K tokens) is the 18th largest of 30.
  • Maximum output (210K tokens) is the 3rd largest of 30.
  • On blended price it is 275% more expensive than the median Mistral model in the catalogue.

These are rankings by listed price and size within this catalogue (blended price weights input 3:1 against output), not a measure of output quality.

Cheaper models with the same capabilities

Lower blended price, at least the same context window, and the same input types and function calling.

Cheaper alternatives to Mistral Medium 3.5
ModelProviderContextInput $/1MOutput $/1M
Llama 4 ScoutMeta1.31M$0.10$0.30
Claude Haiku 5.5Anthropic1M$0.10$0.50
GPT-6 Luna ProOpenAI1.05M$0.10$0.50

More from Mistral

Other Mistral models
ModelProviderContextInput $/1MOutput $/1M
Mistral Large 4Mistral1.05M$0.70$2.10
Mistral Small 4Mistral262K$0.15$0.60
Devstral 2 2512Mistral262K$0.40$2.00
Ministral 3 14B 2512Mistral262K$0.20$0.20

Try it with your own text

Source: OpenRouter’s public model catalogue (mistralai/mistral-medium-3-5), read once a day. These are the prices OpenRouter charges; a provider’s own list price can differ, so check the provider before committing to a budget.

llmtools is a vendor-neutral toolkit for working with large language models — token counting, cost estimation and model comparison, computed in your browser. OpenAI token counts are exact, using the same encoding the model does (o200k_base for GPT-4o, cl100k_base for GPT-4/3.5); Claude and Gemini counts are labelled approximations, since neither publishes a tokenizer that runs client-side. Model pricing is read from OpenRouter’s public catalogue once a day. Nothing you type is ever transmitted anywhere.