Mistral Medium 3.1 (05/2025)

Release Date: 5/7/2025

Benchmarked by Vals Logo

Mistral Medium 2505

Avg. Accuracy

63.73%

Latency

15.96s

Cost (In/Out)

0.4 / 2

Context Window

131k

Max Output Tokens

33k

Input Modality

Hyperparameter settings
Default Provider : N/A

Temperature

0.7

Top P

Default

Top K

Default

Max Output Tokens

32,768

Benchmarks

Accuracy

Rankings

CorpFin

0.0%

56/ 81

MortgageTax

0.0%

54/ 58

TaxEval (v2)

0.0%

45/ 90

AIME

0.0%

52/ 81

LiveCodeBench

0.0%

68/ 89

LegalBench

0.0%

90/ 102

MATH 500

0.0%

34/ 60

MedQA

0.0%

68/ 88

MGSM

0.0%

34/ 75

MMLU Pro

0.0%

59/ 82

MMMU

0.0%

45/ 55

Academic Benchmarks
Proprietary Benchmarks (contact us to get access)

Join our mailing list to receive benchmark updates

Model benchmarks are seriously lacking. With Vals AI, we report how language models perform on the industry-specific tasks where they will be used.

By subscribing, I agree to Vals' Privacy Policy.