Model comparison

MiniMax-M2.5 vs Qwen1.5-72B

MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiniMax-M2.5 MiniMax

38.1

Rank #181 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.3

Rank #282 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax-M2.5 scores higher in 6 categories and Qwen1.5-72B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M2.5 leads 38.6 to 11.5.

Side by side

MiniMax-M2.5 and Qwen1.5-72B specifications
MiniMax-M2.5Qwen1.5-72B
ProviderMiniMaxAlibaba (Qwen)
Noometry Index38.130.3
Released2026-02-122024-02-04
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$0.30—
Output $ / M tokens$1.20—
Results tracked3322

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Category by category

Coding MiniMax-M2.5 leads

MiniMax-M2.5: 47.9 (#53), Qwen1.5-72B: 31.4 (#272)

Coding benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Coding13801166
SWE-bench Verified (bash only)75.8%—
LMArena WebDev1386—
SWE-bench Multilingual68.3%—
BigCodeBench Instruct—33.2%
BigCodeBench Complete—40.3%
ALE-Bench618.17—
HumanEval+—59.1%
MBPP+—61.6%

Agentic & Tool Use Not comparable

MiniMax-M2.5: 30.2 (#70), Qwen1.5-72B: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
Terminal-Bench42.7%—
Vending-Bench 2-23.16—

Reasoning Qwen1.5-72B leads

MiniMax-M2.5: 17.6 (#281), Qwen1.5-72B: 21.2 (#201)

Reasoning benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Hard Prompts13721148
ARC-AGI-24.9%—
Kagi LLM Benchmark55.2%—
NYT Connections (extended)16.8%—
ARC-AGI-163.7%—
Epoch Capabilities Index146.68—

Math Qwen1.5-72B leads

MiniMax-M2.5: 25.8 (#242), Qwen1.5-72B: 30.7 (#205)

Math benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Math13781164
ProofBench4%—

Knowledge MiniMax-M2.5 leads

MiniMax-M2.5: 38.6 (#132), Qwen1.5-72B: 11.5 (#295)

Knowledge benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Expert13781136
GPQA Diamond—28.8%
Vectara Hallucination Rate9.1%—

Multilingual MiniMax-M2.5 leads

MiniMax-M2.5: 47.3 (#147), Qwen1.5-72B: 33.4 (#248)

Multilingual benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Non-English13381135
LMArena Chinese13921186
LMArena French13631158
LMArena German13611084
LMArena Japanese11691061
LMArena Korean12321049
LMArena Russian13591104
LMArena Spanish13541110

Instruction Following MiniMax-M2.5 leads

MiniMax-M2.5: 71.7 (#143), Qwen1.5-72B: 59.6 (#251)

Instruction Following benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Instruction Following13531142

Long Context MiniMax-M2.5 leads

MiniMax-M2.5: 37.4 (#211), Qwen1.5-72B: 35.0 (#238)

Long Context benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Longer Query13671157
CL-bench11.4%—
CL-bench Life6.3%—

Writing & Preference MiniMax-M2.5 leads

MiniMax-M2.5: 54.1 (#149), Qwen1.5-72B: 37.4 (#253)

Writing & Preference benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-72B
LMArena Text13591166
LMArena Creative Writing13311137
LMArena Multi-Turn13641160
EQ-Bench Creative Writing1361—

Frequently asked questions

Is MiniMax-M2.5 better than Qwen1.5-72B?

MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

Is MiniMax-M2.5 or Qwen1.5-72B better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 47.9 versus 31.4 in the Noometry coding category.

How many benchmarks do MiniMax-M2.5 and Qwen1.5-72B share?

17 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen1.5-72B has 22.

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