mistralai

Mistral: Mistral Medium 3.5

Mistral Medium 3.5 from MistralAI is a versatile language model capable of processing text, images, and files, with a context length of up to 262,144 tokens. It supports tools and reasoning, making it suitable for complex tasks that require interaction or analysis beyond simple text comprehension. This model should be considered by users who need a robust solution across multiple input types and moderate reasoning capabilities, but are willing to pay the higher price point. With a benchmark blended score of 52.3, it competes well in general language tasks, though its performance is strongest in coding with an impressive score of 77.4. Given its pricing at $1.5 per million input tokens and $7.5 per million output tokens, Mistral Medium 3.5 offers value for those requiring advanced modalities and tool support.

Quality Score
100/100
price + capability + benchmarks
Input Price
$1.50
per 1M tokens
Output Price
$7.50
per 1M tokens
Context Window
262,144
tokens

Benchmark results

Independent, published benchmarks. Blended score 52.3 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 50.1
AI Index Coding software engineering tasks 77.4
AI Index Agentic multi-step tool-using tasks 31.7
Model ID
mistralai/mistral-medium-3-5
Vendor
mistralai
Released
April 2026
Tokenizer
Mistral
Input Modalities
text, image, file
Output Modalities
text
Max Output
default
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $1.50/M input and $7.50/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.06
Classify 1,000 customer emails 500k in / 50k out $1.12
A month of a busy support chatbot 5M in / 2M out $22.50

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Quick answers

How much does Mistral: Mistral Medium 3.5 cost?
$1.50 per million input tokens and $7.50 per million output tokens.
What is Mistral: Mistral Medium 3.5's context window?
262,144 tokens, roughly 393 pages of text in a single request.
Does Mistral: Mistral Medium 3.5 support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Mistral: Mistral Medium 3.5 process images?
Yes, it accepts image input.