mistralai

Mistral Large

Mistral Large is an AI model from MistralAI capable of handling text and file inputs within a vast context length of 128,000 tokens. It supports tools but lacks reasoning capabilities or structured output. The benchmark score stands at 6.7 across one independent test, with a blended score of 5.2, indicating strong performance in specific areas. Given its price of $2.0 per million input tokens and $6.0 per million output tokens, Mistral Large is suitable for users requiring extensive text or file processing within budget constraints, especially those who can benefit from the model's robust handling of diverse inputs. Its solid benchmark standing supports its reliability in practical applications where a balance between cost and performance is key.

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

Benchmark results

Independent, published benchmarks. Blended score 5.2 across 1 benchmark, last refreshed 2026-08-13. 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
default
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.