Model comparison

MiniMax-M2 vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 37.4 on the Noometry Index. MiniMax-M2 costs 2.3× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 14 benchmarks with published results for both. MiniMax-M2 scores higher in 3 categories and Qwen3 32B in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where Qwen3 32B leads 32.6 to 25.1.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • MiniMax-M2 accepts more context: 205K tokens versus 131K.

Side by side

MiniMax-M2 and Qwen3 32B specifications
MiniMax-M2Qwen3 32B
ProviderMiniMaxAlibaba (Qwen)
Noometry Index37.439.2
Released2025-10-272025-04
WeightsOpenOpen
Context window205K131K
Max output131K16K
Input $ / M tokens$0.30$0.70
Output $ / M tokens$1.20$2.80
Results tracked2126

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Category by category

Coding MiniMax-M2 leads

MiniMax-M2: 39.3 (#159), Qwen3 32B: 37.7 (#190)

Coding benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Coding13701358
SWE-bench Verified (bash only)61%—
Aider Polyglot—40%
LMArena WebDev1297—
SciCode—35.4%

Agentic & Tool Use Qwen3 32B leads

MiniMax-M2: 25.1 (#109), Qwen3 32B: 32.6 (#62)

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Qwen3 32B
Terminal-Bench30%—
Berkeley Function Calling Leaderboard—48.7%
Vending-Bench 2160.6—

Reasoning Too close to call

MiniMax-M2: 19.4 (#258), Qwen3 32B: 20.2 (#241)

Reasoning benchmarks
BenchmarkMiniMax-M2Qwen3 32B
Kagi LLM Benchmark57.8%54.9%
LMArena Hard Prompts13571334
NYT Connections (extended)14.8%—
CritPt—0.3%
Chess Puzzles—5%
DTBench—67.5%
LMCA—17.3%
Epoch Capabilities Index—138.51

Math Qwen3 32B leads

MiniMax-M2: 37.3 (#160), Qwen3 32B: 39.7 (#99)

Math benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Math13521399
OTIS Mock AIME 2024-2025—66.9%

Knowledge Qwen3 32B leads

MiniMax-M2: 37.0 (#163), Qwen3 32B: 40.0 (#125)

Knowledge benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Expert13371362
GPQA Diamond—65.7%
Vectara Hallucination Rate—5.9%

Multilingual Too close to call

MiniMax-M2: 45.3 (#171), Qwen3 32B: 45.6 (#167)

Multilingual benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Non-English13131317
LMArena Chinese13661357
LMArena German13551341
LMArena Russian13311311
LMArena French1335—
LMArena Spanish1326—

Instruction Following MiniMax-M2 leads

MiniMax-M2: 70.2 (#166), Qwen3 32B: 68.9 (#179)

Instruction Following benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Instruction Following13281305

Long Context Qwen3 32B leads

MiniMax-M2: 40.5 (#153), Qwen3 32B: 43.8 (#87)

Long Context benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Longer Query13311327
Fiction.LiveBench—74.2%

Writing & Preference Too close to call

MiniMax-M2: 53.0 (#162), Qwen3 32B: 52.9 (#163)

Writing & Preference benchmarks
BenchmarkMiniMax-M2Qwen3 32B
LMArena Text13401340
LMArena Creative Writing12861297
LMArena Multi-Turn13611331

Frequently asked questions

Is MiniMax-M2 better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 37.4 on the Noometry Index. MiniMax-M2 costs 2.3× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Which is cheaper, MiniMax-M2 or Qwen3 32B?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Is MiniMax-M2 or Qwen3 32B better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do MiniMax-M2 and Qwen3 32B share?

14 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen3 32B has 26.

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