Noometry

Model comparison

MiMo-V2-Pro vs Mistral Medium 3.5

MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 39.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2-Pro Xiaomi

42.4

Rank #102 Confirmed

Mistral Medium 3.5 Mistral AI

39.6

Rank #151 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2-Pro scores higher in 7 categories and Mistral Medium 3.5 in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2-Pro leads 43.4 to 35.7.
  • The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 12.9% for Mistral Medium 3.5.
  • MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
  • Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-ProMistral Medium 3.5
ProviderXiaomiMistral AI
Noometry Index42.439.6
Released2026-03-18—
WeightsProprietaryOpen
Context window1.05M262K
Max output131K210K
Input $ / M tokens$0.43$1.50
Output $ / M tokens$0.87$7.50
Results tracked2322

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Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.4 (#76), Mistral Medium 3.5: 35.7 (#208)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena WebDev14331263
LMArena Coding14761461
ALE-Bench785.17—

Reasoning MiMo-V2-Pro leads

MiMo-V2-Pro: 21.3 (#200), Mistral Medium 3.5: 16.6 (#290)

BenchmarkMiMo-V2-ProMistral Medium 3.5
NYT Connections (extended)25.8%12.9%
LMArena Hard Prompts14571436
Kagi LLM Benchmark—41.4%
Thematic Generalization45.9%—
Epoch Capabilities Index—141.42

Math Too close to call

MiMo-V2-Pro: 36.7 (#104), Mistral Medium 3.5: 36.4 (#113)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Math14471432

Knowledge MiMo-V2-Pro leads

MiMo-V2-Pro: 40.8 (#106), Mistral Medium 3.5: 39.3 (#123)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Expert14791431

Multimodal Not comparable

MiMo-V2-Pro: —, Mistral Medium 3.5: 37.6 (#64)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Vision—1222

Multilingual Too close to call

MiMo-V2-Pro: 52.9 (#77), Mistral Medium 3.5: 52.1 (#93)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Non-English14161405
LMArena Chinese14551443
LMArena French14701448
LMArena German14171453
LMArena Korean14011387
LMArena Russian14271396
LMArena Spanish14581406
LMArena Japanese1366—

Instruction Following MiMo-V2-Pro leads

MiMo-V2-Pro: 76.2 (#46), Mistral Medium 3.5: 74.7 (#87)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Instruction Following14441414

Long Context Mistral Medium 3.5 leads

MiMo-V2-Pro: 41.5 (#133), Mistral Medium 3.5: 43.2 (#101)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Longer Query14551414
CL-bench15.7%—
CL-bench Life6.9%—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.9 (#67), Mistral Medium 3.5: 58.6 (#113)

BenchmarkMiMo-V2-ProMistral Medium 3.5
LMArena Text14361421
LMArena Creative Writing14151372
LMArena Multi-Turn14561423
EQ-Bench 4—993

Frequently asked questions

Is MiMo-V2-Pro better than Mistral Medium 3.5?

MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 39.6 on the Noometry Index.

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

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

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

MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 35.7 in the Noometry coding category.

Which has the bigger context window?

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

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

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

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