Noometry

Model comparison

MiMo-V2.6-Pro vs Mistral Medium 3.5

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 40.2 on the Noometry Index.

Last verified . 14 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 14 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 17.3.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.6-ProMistral Medium 3.5
ProviderXiaomiMistral AI
Noometry Index50.340.2
Released2026-09-21—
WeightsOpenOpen
Context window1.05M262K
Max output131K210K
Input $ / M tokens$0.43$1.50
Output $ / M tokens$0.87$7.50
Results tracked1922

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), Mistral Medium 3.5: 36.0 (#213)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena WebDev16291264
LMArena Coding15341461
SciCode60.9%—
ALE-Bench1,158—

Agentic & Tool Use Not comparable

MiMo-V2.6-Pro: 37.5 (#35), Mistral Medium 3.5: —

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
APEX-Agents59.5%—

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), Mistral Medium 3.5: 17.3 (#295)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Hard Prompts15121436
Kagi LLM Benchmark—41.4%
NYT Connections (extended)—12.9%
CritPt26.6%—
Epoch Capabilities Index—141.35

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), Mistral Medium 3.5: 39.1 (#113)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Math14941431
ProofBench70%—

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), Mistral Medium 3.5: 40.0 (#126)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Expert15431432

Multimodal MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 40.8 (#43), Mistral Medium 3.5: 38.3 (#65)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Vision12641223

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), Mistral Medium 3.5: 51.9 (#100)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Non-English14741404
LMArena Chinese15291442
LMArena Russian14801395
LMArena French—1448
LMArena German—1451
LMArena Korean—1385
LMArena Spanish—1409

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), Mistral Medium 3.5: 74.6 (#90)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Instruction Following14931415

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), Mistral Medium 3.5: 43.2 (#103)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Longer Query15011415

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), Mistral Medium 3.5: 58.5 (#117)

BenchmarkMiMo-V2.6-ProMistral Medium 3.5
LMArena Text14921421
LMArena Creative Writing14681374
LMArena Multi-Turn14641423
EQ-Bench 4—993

Frequently asked questions

Is MiMo-V2.6-Pro better than Mistral Medium 3.5?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 40.2 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or Mistral Medium 3.5?

MiMo-V2.6-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-V2.6-Pro or Mistral Medium 3.5 better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.6-Pro and Mistral Medium 3.5 share?

14 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mistral Medium 3.5 has 22.

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