Model comparison

MiniMax-M2 vs Qwen2.5 32B Instruct

MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.1 on the Noometry Index.

Last verified . 0 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Qwen2.5 32B Instruct Alibaba (Qwen)

30.1

Rank #297 Confirmed

Summary

  • The widest gap is in math, where MiniMax-M2 leads 37.3 to 16.2.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
  • MiniMax-M2 accepts more context: 205K tokens versus 131K.

Side by side

MiniMax-M2 and Qwen2.5 32B Instruct specifications
MiniMax-M2Qwen2.5 32B Instruct
ProviderMiniMaxAlibaba (Qwen)
Noometry Index37.430.1
Released2025-10-272024-09
WeightsOpenOpen
Context window205K131K
Max output131K8K
Input $ / M tokens$0.30$0.70
Output $ / M tokens$1.20$2.80
Results tracked217

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Category by category

Coding Too close to call

MiniMax-M2: 39.3 (#159), Qwen2.5 32B Instruct: 38.7 (#169)

Coding benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
SWE-bench Verified (bash only)61%—
LMArena WebDev1297—
BigCodeBench Instruct—45%
LMArena Coding1370—
BigCodeBench Complete—52.3%

Agentic & Tool Use Not comparable

MiniMax-M2: 25.1 (#109), Qwen2.5 32B Instruct: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
Terminal-Bench30%—
Vending-Bench 2160.6—

Reasoning Too close to call

MiniMax-M2: 19.4 (#258), Qwen2.5 32B Instruct: 19.2 (#266)

Reasoning benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
Kagi LLM Benchmark57.8%—
NYT Connections (extended)14.8%—
Chess Puzzles—0%
LMArena Hard Prompts1357—
Epoch Capabilities Index—128.52

Math MiniMax-M2 leads

MiniMax-M2: 37.3 (#160), Qwen2.5 32B Instruct: 16.2 (#296)

Math benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
OTIS Mock AIME 2024-2025—7.4%
LMArena Math1352—
MATH Level 5—56.1%

Knowledge MiniMax-M2 leads

MiniMax-M2: 37.0 (#163), Qwen2.5 32B Instruct: 24.9 (#266)

Knowledge benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
GPQA Diamond—46.1%
LMArena Expert1337—

Multilingual Not comparable

MiniMax-M2: 45.3 (#171), Qwen2.5 32B Instruct: —

Multilingual benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
LMArena Non-English1313—
LMArena Chinese1366—
LMArena French1335—
LMArena German1355—
LMArena Russian1331—
LMArena Spanish1326—

Instruction Following Not comparable

MiniMax-M2: 70.2 (#166), Qwen2.5 32B Instruct: —

Instruction Following benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
LMArena Instruction Following1328—

Long Context Not comparable

MiniMax-M2: 40.5 (#153), Qwen2.5 32B Instruct: —

Long Context benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
LMArena Longer Query1331—

Writing & Preference Not comparable

MiniMax-M2: 53.0 (#162), Qwen2.5 32B Instruct: —

Writing & Preference benchmarks
BenchmarkMiniMax-M2Qwen2.5 32B Instruct
LMArena Text1340—
LMArena Creative Writing1286—
LMArena Multi-Turn1361—

Frequently asked questions

Is MiniMax-M2 better than Qwen2.5 32B Instruct?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.1 on the Noometry Index.

Which is cheaper, MiniMax-M2 or Qwen2.5 32B Instruct?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

Is MiniMax-M2 or Qwen2.5 32B Instruct better for coding?

They score almost the same on coding (39.3 vs 38.7); test both on your own repository before choosing.

Which has the bigger context window?

MiniMax-M2 does, with 205K tokens against 131K.

How many benchmarks do MiniMax-M2 and Qwen2.5 32B Instruct share?

0 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen2.5 32B Instruct has 7.

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