Model comparison

MiniMax-M2.7 vs Qwen1.5-110B

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 33.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiniMax-M2.7 MiniMax

37.4

Rank #188 Confirmed

Qwen1.5-110B Alibaba (Qwen)

33.6

Rank #231 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax-M2.7 scores higher in 6 categories and Qwen1.5-110B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiniMax-M2.7 leads 59.1 to 38.1.

Side by side

MiniMax-M2.7 and Qwen1.5-110B specifications
MiniMax-M2.7Qwen1.5-110B
ProviderMiniMaxAlibaba (Qwen)
Noometry Index37.433.6
Released2026-03-182024-04-25
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$0.30—
Output $ / M tokens$1.20—
Results tracked3020

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Category by category

Coding MiniMax-M2.7 leads

MiniMax-M2.7: 41.4 (#115), Qwen1.5-110B: 32.4 (#260)

Coding benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Coding14541184
LMArena WebDev1397—
SciCode47%—
WeirdML37%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%
ALE-Bench599.25—

Agentic & Tool Use Not comparable

MiniMax-M2.7: 24.9 (#103), Qwen1.5-110B: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
Terminal-Bench45.1%—
ExploitBench13.3%—
GBAEval0%—

Reasoning Qwen1.5-110B leads

MiniMax-M2.7: 19.0 (#248), Qwen1.5-110B: 21.7 (#192)

Reasoning benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Hard Prompts14221168
NYT Connections (extended)24.7%—
CritPt0.6%—
Thematic Generalization39.3%—
Epoch Capabilities Index145.84—
ForecastBench—57.7

Math Qwen1.5-110B leads

MiniMax-M2.7: 24.9 (#254), Qwen1.5-110B: 31.1 (#199)

Math benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Math14201185
ProofBench3%—

Knowledge MiniMax-M2.7 leads

MiniMax-M2.7: 37.1 (#151), Qwen1.5-110B: 30.7 (#217)

Knowledge benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Expert14431144
Vectara Hallucination Rate12.9%—

Multilingual MiniMax-M2.7 leads

MiniMax-M2.7: 50.5 (#120), Qwen1.5-110B: 33.8 (#245)

Multilingual benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Non-English13821142
LMArena Chinese14391206
LMArena French14221150
LMArena German13981123
LMArena Japanese12611074
LMArena Korean13131044
LMArena Russian13831118
LMArena Spanish14031141

Instruction Following MiniMax-M2.7 leads

MiniMax-M2.7: 74.2 (#101), Qwen1.5-110B: 60.6 (#247)

Instruction Following benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Instruction Following14041158

Long Context MiniMax-M2.7 leads

MiniMax-M2.7: 43.3 (#94), Qwen1.5-110B: 35.0 (#237)

Long Context benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Longer Query14191157

Writing & Preference MiniMax-M2.7 leads

MiniMax-M2.7: 59.1 (#107), Qwen1.5-110B: 38.1 (#250)

Writing & Preference benchmarks
BenchmarkMiniMax-M2.7Qwen1.5-110B
LMArena Text14041175
LMArena Creative Writing13541148
LMArena Multi-Turn14131160

Frequently asked questions

Is MiniMax-M2.7 better than Qwen1.5-110B?

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 33.6 on the Noometry Index.

Is MiniMax-M2.7 or Qwen1.5-110B better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 32.4 in the Noometry coding category.

How many benchmarks do MiniMax-M2.7 and Qwen1.5-110B share?

17 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Qwen1.5-110B has 20.

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