Model comparison

MiMo-V2.6-Pro vs MiniMax-M2.7

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and MiniMax-M2.7 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 25.9.
  • The biggest single-benchmark swing is ProofBench: 70% for MiMo-V2.6-Pro and 3% for MiniMax-M2.7.
  • Both cost about the same: $0.43 input and $0.87 output per million tokens.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 205K.

Side by side

MiMo-V2.6-Pro and MiniMax-M2.7 specifications
MiMo-V2.6-ProMiniMax-M2.7
ProviderXiaomiMiniMax
Noometry Index50.337.7
Released2026-09-212026-03-18
WeightsOpenOpen
Context window1.05M205K
Max output131K131K
Input $ / M tokens$0.43$0.30
Output $ / M tokens$0.87$1.20
Results tracked1930

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), MiniMax-M2.7: 41.8 (#120)

Coding benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena WebDev16291398
SciCode60.9%47%
LMArena Coding15341454
ALE-Bench1,158599.25
WeirdML—37%

Agentic & Tool Use MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 37.5 (#35), MiniMax-M2.7: 25.1 (#111)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
Terminal-Bench—45.1%
APEX-Agents59.5%—
ExploitBench—13.3%
GBAEval—0%

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), MiniMax-M2.7: 19.7 (#253)

Reasoning benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
CritPt26.6%0.6%
LMArena Hard Prompts15121422
NYT Connections (extended)—24.7%
Thematic Generalization—39.3%
Epoch Capabilities Index—145.85

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), MiniMax-M2.7: 25.9 (#263)

Math benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
ProofBench70%3%
LMArena Math14941420

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), MiniMax-M2.7: 37.7 (#152)

Knowledge benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Expert15431444
Vectara Hallucination Rate—12.9%

Multimodal Not comparable

MiMo-V2.6-Pro: 40.8 (#43), MiniMax-M2.7: —

Multimodal benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Vision1264—

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), MiniMax-M2.7: 50.3 (#123)

Multilingual benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Non-English14741382
LMArena Chinese15291441
LMArena Russian14801383
LMArena French—1421
LMArena German—1398
LMArena Japanese—1262
LMArena Korean—1313
LMArena Spanish—1403

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), MiniMax-M2.7: 74.1 (#103)

Instruction Following benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Instruction Following14931405

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), MiniMax-M2.7: 43.3 (#99)

Long Context benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Longer Query15011419

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), MiniMax-M2.7: 58.9 (#112)

Writing & Preference benchmarks
BenchmarkMiMo-V2.6-ProMiniMax-M2.7
LMArena Text14921405
LMArena Creative Writing14681354
LMArena Multi-Turn14641412

Frequently asked questions

Is MiMo-V2.6-Pro better than MiniMax-M2.7?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.7 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.

Is MiMo-V2.6-Pro or MiniMax-M2.7 better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 205K.

How many benchmarks do MiMo-V2.6-Pro and MiniMax-M2.7 share?

17 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and MiniMax-M2.7 has 30.

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