Model comparison

MiMo-V2.6-Pro vs Mistral Large 4

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.1 on the Noometry Index.

Last verified . 13 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 22.5.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • MiMo-V2.6-Pro has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.6-Pro and Mistral Large 4 specifications
MiMo-V2.6-ProMistral Large 4
ProviderXiaomiMistral AI
Noometry Index50.343.1
Released2026-09-212026-10-06
WeightsOpenProprietary
Context window1.05M1.05M
Max output131K262K
Input $ / M tokens$0.43$0.68
Output $ / M tokens$0.87$2.09
Results tracked1915

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), Mistral Large 4: 48.6 (#57)

Coding benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena WebDev16291541
LMArena Coding15341475
SciCode60.9%—
ALE-Bench1,158—

Agentic & Tool Use Not comparable

MiMo-V2.6-Pro: 37.5 (#35), Mistral Large 4: —

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
APEX-Agents59.5%—

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), Mistral Large 4: 22.5 (#192)

Reasoning benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Hard Prompts15121444
NYT Connections (extended)—27.4%
CritPt26.6%—

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), Mistral Large 4: 40.4 (#91)

Math benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Math14941488
ProofBench70%—

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), Mistral Large 4: 36.6 (#166)

Knowledge benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Expert15431447
SimpleQA Verified—20%

Multimodal Not comparable

MiMo-V2.6-Pro: 40.8 (#43), Mistral Large 4: —

Multimodal benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Vision1264—

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), Mistral Large 4: 52.6 (#82)

Multilingual benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Non-English14741415
LMArena Chinese15291491
LMArena Russian14801414

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), Mistral Large 4: 75.0 (#76)

Instruction Following benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Instruction Following14931424

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), Mistral Large 4: 43.6 (#89)

Long Context benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Longer Query15011429

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), Mistral Large 4: 60.4 (#97)

Writing & Preference benchmarks
BenchmarkMiMo-V2.6-ProMistral Large 4
LMArena Text14921427
LMArena Creative Writing14681361
LMArena Multi-Turn14641424

Frequently asked questions

Is MiMo-V2.6-Pro better than Mistral Large 4?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.1 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or Mistral Large 4?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is MiMo-V2.6-Pro or Mistral Large 4 better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Both accept 1.05M tokens.

How many benchmarks do MiMo-V2.6-Pro and Mistral Large 4 share?

13 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mistral Large 4 has 15.

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