OpenRating is an independent, open-source AI rating platform. Join the community

OOpenRating
All models

Mistral AI · Released Oct 6, 2026

Mistral Large 4 Preview

Mistral's reasoning-optimized model featuring verified performance on the OpenRating benchmark index, balanced for high throughput and enterprise reliability.

Proprietary

OpenRating Index

38.0

0–100 composite

Reasoning Index

51.3

0–100 composite

Cost / Task

$1.13

benchmark run

Output speed

116 tok/s

blended tok/s

Time to first token

1.5s

median latency

Input price

$1.36

per 1M tokens

Output price

$4.18

per 1M tokens

Context window

524K

tokens

Strengths

  • Intelligence Index score of 38.0 on independent evaluations

  • 116.1 tokens/sec median generation throughput with sub-second response times

  • 524k token context window supporting complex multi-document reasoning

How we rate Mistral Large 4 Preview

OpenRating scores every model on the same axes. The OpenRating Index is a weighted composite of reasoning, knowledge, and agentic benchmarks, normalised to a 0–100 scale. Speed is blended output measured in tokens per second under standardised load, with time-to-first-token reported separately. Prices are list input and output prices per million tokens, and Task Cost measures end-to-end workload spending.

OpenRating Index

38.0

Reasoning Index

51.3

Token Pricing

Input per 1M tokens

$1.36

Output per 1M tokens

$4.18

Cost of 1M input + 1M output

$5.54

Task Cost Economics

Empirical cost breakdown for a standard OpenRating Index benchmark task ($1.13 total).

Reasoning (Chain of Thought)
$0.54
Answer generation
$0.18
Cache write overhead
$0.20
Cache hit queries
$0.10
Input payload
$0.10