Noometry

Model comparison

MiMo-V2-Pro vs MiniMax-M2.7

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.7 on the Noometry Index.

Last verified . 21 shared benchmarks.

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 21 benchmarks with published results for both. MiMo-V2-Pro scores higher in 7 categories and MiniMax-M2.7 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Pro leads 39.5 to 25.9.
  • The biggest single-benchmark swing is Thematic Generalization: 45.9% for MiMo-V2-Pro and 39.3% for MiniMax-M2.7.
  • Both cost about the same: $0.43 input and $0.87 output per million tokens.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-ProMiniMax-M2.7
ProviderXiaomiMiniMax
Noometry Index43.037.7
Released2026-03-182026-03-18
WeightsProprietaryOpen
Context window1.05M205K
Max output131K131K
Input $ / M tokens$0.43$0.30
Output $ / M tokens$0.87$1.20
Results tracked2330

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Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.8 (#83), MiniMax-M2.7: 41.8 (#120)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena WebDev14331398
LMArena Coding14761454
ALE-Bench785.17599.25
SciCode—47%
WeirdML—37%

Agentic & Tool Use Not comparable

MiMo-V2-Pro: —, MiniMax-M2.7: 25.1 (#111)

BenchmarkMiMo-V2-ProMiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%

Reasoning MiMo-V2-Pro leads

MiMo-V2-Pro: 22.1 (#206), MiniMax-M2.7: 19.7 (#253)

BenchmarkMiMo-V2-ProMiniMax-M2.7
NYT Connections (extended)25.8%24.7%
Thematic Generalization45.9%39.3%
LMArena Hard Prompts14571422
CritPt—0.6%
Epoch Capabilities Index—145.85

Math MiMo-V2-Pro leads

MiMo-V2-Pro: 39.5 (#102), MiniMax-M2.7: 25.9 (#263)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Math14471420
ProofBench—3%

Knowledge MiMo-V2-Pro leads

MiMo-V2-Pro: 41.4 (#111), MiniMax-M2.7: 37.7 (#152)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Expert14781444
Vectara Hallucination Rate—12.9%

Multilingual MiMo-V2-Pro leads

MiMo-V2-Pro: 52.7 (#81), MiniMax-M2.7: 50.3 (#123)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Non-English14161382
LMArena Chinese14561441
LMArena French14691421
LMArena German14171398
LMArena Japanese13661262
LMArena Korean14001313
LMArena Russian14271383
LMArena Spanish14571403

Instruction Following MiMo-V2-Pro leads

MiMo-V2-Pro: 76.0 (#49), MiniMax-M2.7: 74.1 (#103)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Instruction Following14451405

Long Context MiniMax-M2.7 leads

MiMo-V2-Pro: 41.5 (#138), MiniMax-M2.7: 43.3 (#99)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Longer Query14551419
CL-bench15.7%—
CL-bench Life6.9%—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.8 (#70), MiniMax-M2.7: 58.9 (#112)

BenchmarkMiMo-V2-ProMiniMax-M2.7
LMArena Text14361405
LMArena Creative Writing14151354
LMArena Multi-Turn14561412

Frequently asked questions

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

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.7 on the Noometry Index.

Which is cheaper, MiMo-V2-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-Pro lists at $0.43 and $0.87.

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

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

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

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

21 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and MiniMax-M2.7 has 30.

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