Model comparison

MiMo-V2.5-Pro vs Mistral Medium 3.1

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

45.2

Rank #74 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • They share 2 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.5-Pro leads 26.8 to 10.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 6.5% for Mistral Medium 3.1.
  • MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 131K.
  • MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.5-Pro and Mistral Medium 3.1 specifications
MiMo-V2.5-ProMistral Medium 3.1
ProviderXiaomiMistral AI
Noometry Index45.231.9
Released2026-04-22—
WeightsOpenProprietary
Context window1.05M131K
Max output131K105K
Input $ / M tokens$0.43$0.40
Output $ / M tokens$0.87$2
Results tracked273

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Category by category

Coding Not comparable

MiMo-V2.5-Pro: 47.4 (#60), Mistral Medium 3.1: —

Coding benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
LMArena WebDev1479—
SciCode50.2%—
LMArena Coding1503—
ALE-Bench899.8—

Reasoning MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 26.8 (#130), Mistral Medium 3.1: 10.6 (#341)

Reasoning benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
NYT Connections (extended)34.4%6.5%
CritPt4%—
Thematic Generalization—20.3%
LMArena Hard Prompts1488—
DTBench84.5%—
LMCA29.5%—

Math Not comparable

MiMo-V2.5-Pro: 40.0 (#96), Mistral Medium 3.1: —

Math benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
ProofBench22%—
LMArena Math1481—

Knowledge Not comparable

MiMo-V2.5-Pro: 42.2 (#98), Mistral Medium 3.1: —

Knowledge benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
LMArena Expert1503—

Multilingual Not comparable

MiMo-V2.5-Pro: 55.1 (#34), Mistral Medium 3.1: —

Multilingual benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
LMArena Non-English1449—
LMArena Chinese1507—
LMArena French1488—
LMArena German1458—
LMArena Japanese1412—
LMArena Korean1437—
LMArena Russian1450—
LMArena Spanish1471—

Instruction Following Not comparable

MiMo-V2.5-Pro: 77.5 (#21), Mistral Medium 3.1: —

Instruction Following benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
LMArena Instruction Following1477—

Long Context Not comparable

MiMo-V2.5-Pro: 45.4 (#37), Mistral Medium 3.1: —

Long Context benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
LMArena Longer Query1483—

Writing & Preference MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 65.3 (#49), Mistral Medium 3.1: 55.5 (#145)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5-ProMistral Medium 3.1
EQ-Bench Creative Writing14931476
LMArena Text1465—
LMArena Creative Writing1440—
EQ-Bench 41208—
LMArena Multi-Turn1477—

Frequently asked questions

Is MiMo-V2.5-Pro better than Mistral Medium 3.1?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.9 on the Noometry Index.

Which is cheaper, MiMo-V2.5-Pro or Mistral Medium 3.1?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 131K.

How many benchmarks do MiMo-V2.5-Pro and Mistral Medium 3.1 share?

2 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Medium 3.1 has 3.

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