Model comparison

MiniMax-M2 vs Qwen3.7 Flash

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 36.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

MiniMax-M2 MiniMax

36.9

Rank #201 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.5

Rank #152 Confirmed

Summary

  • They share 1 benchmark with published results for both. MiniMax-M2 scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 36.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 14.8% for MiniMax-M2 and 43.8% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
  • Qwen3.7 Flash accepts more context: 1M tokens versus 205K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M2 and Qwen3.7 Flash specifications
MiniMax-M2Qwen3.7 Flash
ProviderMiniMaxAlibaba (Qwen)
Noometry Index36.939.5
Released2025-10-272026-07-15
WeightsOpenProprietary
Context window205K1M
Max output131K131K
Input $ / M tokens$0.30$0.03
Output $ / M tokens$1.20$0.13
Results tracked217

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Category by category

Coding Not comparable

MiniMax-M2: 39.1 (#151), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
SWE-bench Verified (bash only)61%—
LMArena WebDev1297—
LMArena Coding1370—

Agentic & Tool Use Not comparable

MiniMax-M2: 24.9 (#102), Qwen3.7 Flash: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
Terminal-Bench30%—
Vending-Bench 2160.6—

Reasoning Qwen3.7 Flash leads

MiniMax-M2: 18.6 (#256), Qwen3.7 Flash: 27.3 (#108)

Reasoning benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
NYT Connections (extended)14.8%43.8%
Kagi LLM Benchmark57.8%—
Chess Puzzles—23%
LMArena Hard Prompts1357—
Mystery Game Puzzles—15%
Epoch Capabilities Index—144.62

Math Qwen3.7 Flash leads

MiniMax-M2: 34.6 (#158), Qwen3.7 Flash: 37.3 (#100)

Math benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
FrontierMath (Tiers 1-3)—19.3%
OTIS Mock AIME 2024-2025—86.7%
LMArena Math1350—

Knowledge Qwen3.7 Flash leads

MiniMax-M2: 36.3 (#160), Qwen3.7 Flash: 48.9 (#69)

Knowledge benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
GPQA Diamond—82.3%
LMArena Expert1336—

Multilingual Not comparable

MiniMax-M2: 45.6 (#165), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
LMArena Non-English1314—
LMArena Chinese1367—
LMArena French1336—
LMArena German1366—
LMArena Russian1332—
LMArena Spanish1326—

Instruction Following Not comparable

MiniMax-M2: 70.4 (#160), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
LMArena Instruction Following1329—

Long Context Not comparable

MiniMax-M2: 40.5 (#148), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
LMArena Longer Query1332—

Writing & Preference Not comparable

MiniMax-M2: 53.3 (#157), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkMiniMax-M2Qwen3.7 Flash
LMArena Text1340—
LMArena Creative Writing1288—
LMArena Multi-Turn1362—

Frequently asked questions

Is MiniMax-M2 better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 36.9 on the Noometry Index.

Which is cheaper, MiniMax-M2 or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 205K.

How many benchmarks do MiniMax-M2 and Qwen3.7 Flash share?

1 benchmark has published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen3.7 Flash has 7.

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