Model comparison

MiMo-V2.5 vs Mistral Medium 3.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 40.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2.5 scores higher in 8 categories and Mistral Medium 3.5 in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.5 leads 28.6 to 17.3.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.5 and Mistral Medium 3.5 specifications
MiMo-V2.5Mistral Medium 3.5
ProviderXiaomiMistral AI
Noometry Index43.440.2
Released2026-04-22—
WeightsOpenOpen
Context window1.05M262K
Max output131K210K
Input $ / M tokens$0.14$1.50
Output $ / M tokens$0.28$7.50
Results tracked2322

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Category by category

Coding MiMo-V2.5 leads

MiMo-V2.5: 43.9 (#81), Mistral Medium 3.5: 36.0 (#213)

Coding benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena WebDev14381264
LMArena Coding14691461
SciCode43.1%—
ALE-Bench513.95—

Reasoning MiMo-V2.5 leads

MiMo-V2.5: 28.6 (#101), Mistral Medium 3.5: 17.3 (#295)

Reasoning benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Hard Prompts14501436
Kagi LLM Benchmark—41.4%
NYT Connections (extended)—12.9%
CritPt3.7%—
Epoch Capabilities Index—141.35

Math Mistral Medium 3.5 leads

MiMo-V2.5: 36.8 (#163), Mistral Medium 3.5: 39.1 (#113)

Math benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Math14361431
ProofBench16%—

Knowledge Too close to call

MiMo-V2.5: 40.8 (#115), Mistral Medium 3.5: 40.0 (#126)

Knowledge benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Expert14601432

Multimodal MiMo-V2.5 leads

MiMo-V2.5: 39.8 (#54), Mistral Medium 3.5: 38.3 (#65)

Multimodal benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Vision12471223

Multilingual Too close to call

MiMo-V2.5: 51.9 (#99), Mistral Medium 3.5: 51.9 (#100)

Multilingual benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Non-English14041404
LMArena Chinese14681442
LMArena French14471448
LMArena German14211451
LMArena Korean13631385
LMArena Russian13951395
LMArena Spanish14161409
LMArena Japanese1306—

Instruction Following Too close to call

MiMo-V2.5: 75.5 (#60), Mistral Medium 3.5: 74.6 (#90)

Instruction Following benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Instruction Following14341415

Long Context Too close to call

MiMo-V2.5: 44.2 (#73), Mistral Medium 3.5: 43.2 (#103)

Long Context benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Longer Query14451415

Writing & Preference MiMo-V2.5 leads

MiMo-V2.5: 61.6 (#86), Mistral Medium 3.5: 58.5 (#117)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5Mistral Medium 3.5
LMArena Text14281421
LMArena Creative Writing13931374
LMArena Multi-Turn14451423
EQ-Bench 4—993

Frequently asked questions

Is MiMo-V2.5 better than Mistral Medium 3.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 40.2 on the Noometry Index.

Which is cheaper, MiMo-V2.5 or Mistral Medium 3.5?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is MiMo-V2.5 or Mistral Medium 3.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.5 and Mistral Medium 3.5 share?

18 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral Medium 3.5 has 22.

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