mistralai

Mistral Large

The Mistral Large is a large language model developed by mistralai that can handle text and file inputs up to 128,000 characters in context. It supports tools for task automation but does not support advanced reasoning capabilities or structured output. Those with a budget of at least $2.00 per million input tokens and who prioritize price may want to consider shortlisting the Mistral Large. Its blended benchmark score of 5.2 across one independent benchmark, though not extensive, suggests it is capable in some areas, but its value proposition ultimately depends on specific use cases and individual project requirements.

Quality Score
87/100
price + capability + benchmarks
Input Price
$2.00
per 1M tokens · checked 2026-09-04
Output Price
$6.00
per 1M tokens · checked 2026-09-04
Context Window
128,000
tokens

Benchmark results

Independent, published benchmarks. Blended score 5.2 across 1 benchmark, last refreshed 2026-09-04. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 6.7
Model ID
mistralai/mistral-large
Vendor
mistralai
Released
February 2024
Tokenizer
Mistral
Input Modalities
text, file
Output Modalities
text
Max Output
102,400 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $2.00/M input and $6.00/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.07
Classify 1,000 customer emails 500k in / 50k out $1.30
A month of a busy support chatbot 5M in / 2M out $22.00

Similar models

Quick answers

How much does Mistral Large cost?
$2.00 per million input tokens and $6.00 per million output tokens.
What is Mistral Large's context window?
128,000 tokens, roughly 192 pages of text in a single request.
Does Mistral Large support tool calling?
It supports tool calling, structured output.
Can Mistral Large process images?
No, it is text-only on the input side.