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Mistral

Mistral Large 4 Preview

ReasoningClosed weightsModels.dev
Intelligence
38.4
Rank 76 of 744 measured models
Output speed
116 t/s
Rank 138 of 403 measured models
Price/1M
$2.07
Rank 472 of 659 measured models
Context window
524K
Rank 338 of 1199 measured models
Cost per task
$1.13
Rank 137 of 193 measured models

Mistral Large 4 Preview scores 38.4 on the Artificial Analysis Intelligence Index, ranking 76th of 744 measured models. The closest models on this index are GPT-5.5 (38.4), Claude Sonnet 5 (38.2), and GPT-6 Luna (38.1). At $2.07 per million tokens (3:1 input/output blended price), it is cheaper than GPT-5.5 ($11.25) and Claude Sonnet 5 ($4), more expensive than GPT-6 Luna ($0.20). With an output speed of 116 t/s, it is faster than GPT-5.5 (81.9 t/s) and Claude Sonnet 5 (74.9 t/s), about as fast as GPT-6 Luna (116 t/s).

Artificial Analysis Indices
Intelligence38.4
Rank 76 of 744 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting38.3
Rank 84 of 218 measured models
Strategy & Ops42.2
Rank 78 of 218 measured models
Legal37.0
Rank 93 of 218 measured models
Engineering37.6
Rank 78 of 217 measured models
Economics43.6
Rank 92 of 225 measured models
Cyber Index
Artificial Analysis · v1
Cyber Index49.5%Rank 6 of 20 measured models
Successes
49.5%
Safety blocks
0.0%
Failures
50.5%
CWE-Bench-AA50.8%
DeepsecBench-AA16.0%
CyberGym-E2E-AA81.7%
Cost per task$2.79
Standard Benchmarks
HLE35.0%
Rank 120 of 664 measured models
SciCode54.2%
Rank 63 of 231 measured models
AA-LCR81.3%
Rank 54 of 575 measured models
Terminal-Bench v426.8%
Rank 47 of 218 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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