Model comparison

MiniMax-M2.5 vs Qwen1.5-14B

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 32.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

Summary

  • They share 16 benchmarks with published results for both. MiniMax-M2.5 scores higher in 6 categories and Qwen1.5-14B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiniMax-M2.5 leads 53.9 to 33.6.

Side by side

MiniMax-M2.5 and Qwen1.5-14B specifications
MiniMax-M2.5Qwen1.5-14B
ProviderMiniMaxAlibaba (Qwen)
Noometry Index38.332.7
Released2026-02-122024-02-04
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$0.30—
Output $ / M tokens$1.20—
Results tracked3317

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Category by category

Coding MiniMax-M2.5 leads

MiniMax-M2.5: 48.1 (#58), Qwen1.5-14B: 33.1 (#263)

Coding benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Coding13811138
SWE-bench Verified (bash only)75.8%—
LMArena WebDev1387—
SWE-bench Multilingual68.3%—
ALE-Bench618.17—

Agentic & Tool Use Not comparable

MiniMax-M2.5: 30.4 (#77), Qwen1.5-14B: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
Terminal-Bench42.7%—
Vending-Bench 2-23.16—

Reasoning Qwen1.5-14B leads

MiniMax-M2.5: 17.5 (#292), Qwen1.5-14B: 21.4 (#223)

Reasoning benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Hard Prompts13721113
ARC-AGI-24.9%—
Kagi LLM Benchmark55.2%—
NYT Connections (extended)16.8%—
ARC-AGI-163.7%—
Epoch Capabilities Index146.68—

Math Qwen1.5-14B leads

MiniMax-M2.5: 26.9 (#253), Qwen1.5-14B: 32.4 (#215)

Math benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Math13781125
ProofBench4%—

Knowledge MiniMax-M2.5 leads

MiniMax-M2.5: 39.2 (#135), Qwen1.5-14B: 29.8 (#232)

Knowledge benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Expert13791094
Vectara Hallucination Rate9.1%—
MMLU—68.6%

Multilingual MiniMax-M2.5 leads

MiniMax-M2.5: 47.1 (#152), Qwen1.5-14B: 30.7 (#262)

Multilingual benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Non-English13381095
LMArena Chinese13931147
LMArena French13621116
LMArena German13621043
LMArena Japanese11711019
LMArena Russian13581046
LMArena Spanish13541085
LMArena Korean1232—

Instruction Following MiniMax-M2.5 leads

MiniMax-M2.5: 71.5 (#148), Qwen1.5-14B: 56.8 (#271)

Instruction Following benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Instruction Following13531102

Long Context MiniMax-M2.5 leads

MiniMax-M2.5: 37.5 (#216), Qwen1.5-14B: 33.7 (#257)

Long Context benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Longer Query13661113
CL-bench11.4%—
CL-bench Life6.3%—

Writing & Preference MiniMax-M2.5 leads

MiniMax-M2.5: 53.9 (#153), Qwen1.5-14B: 33.6 (#276)

Writing & Preference benchmarks
BenchmarkMiniMax-M2.5Qwen1.5-14B
LMArena Text13591128
LMArena Creative Writing13311091
LMArena Multi-Turn13641110
EQ-Bench Creative Writing1361—

Frequently asked questions

Is MiniMax-M2.5 better than Qwen1.5-14B?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 32.7 on the Noometry Index.

Is MiniMax-M2.5 or Qwen1.5-14B better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 33.1 in the Noometry coding category.

How many benchmarks do MiniMax-M2.5 and Qwen1.5-14B share?

16 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen1.5-14B has 17.

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