Model comparison

MiMo-V2.5-Pro vs Qwen3.7 Flash

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 9.9× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

45.2

Rank #74 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.9

Rank #156 Confirmed

Summary

  • They share 1 benchmark with published results for both. MiMo-V2.5-Pro scores higher in 1 category and Qwen3.7 Flash in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 42.2.
  • The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 43.8% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
  • MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 1M.
  • MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.5-Pro and Qwen3.7 Flash specifications
MiMo-V2.5-ProQwen3.7 Flash
ProviderXiaomiAlibaba (Qwen)
Noometry Index45.239.9
Released2026-04-222026-07-15
WeightsOpenProprietary
Context window1.05M1M
Max output131K131K
Input $ / M tokens$0.43$0.03
Output $ / M tokens$0.87$0.13
Results tracked277

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

MiMo-V2.5-Pro: 47.4 (#60), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
LMArena WebDev1479—
SciCode50.2%—
LMArena Coding1503—
ALE-Bench899.8—

Reasoning Qwen3.7 Flash leads

MiMo-V2.5-Pro: 26.8 (#130), Qwen3.7 Flash: 28.2 (#108)

Reasoning benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
NYT Connections (extended)34.4%43.8%
CritPt4%—
Chess Puzzles—23%
LMArena Hard Prompts1488—
Mystery Game Puzzles—15%
DTBench84.5%—
LMCA29.5%—
Epoch Capabilities Index—144.64

Math MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 40.0 (#96), Qwen3.7 Flash: 38.3 (#140)

Math benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
FrontierMath (Tiers 1-3)—19.3%
OTIS Mock AIME 2024-2025—86.7%
ProofBench22%—
LMArena Math1481—

Knowledge Qwen3.7 Flash leads

MiMo-V2.5-Pro: 42.2 (#98), Qwen3.7 Flash: 48.9 (#75)

Knowledge benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
GPQA Diamond—82.3%
LMArena Expert1503—

Multilingual Not comparable

MiMo-V2.5-Pro: 55.1 (#34), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
LMArena Non-English1449—
LMArena Chinese1507—
LMArena French1488—
LMArena German1458—
LMArena Japanese1412—
LMArena Korean1437—
LMArena Russian1450—
LMArena Spanish1471—

Instruction Following Not comparable

MiMo-V2.5-Pro: 77.5 (#21), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
LMArena Instruction Following1477—

Long Context Not comparable

MiMo-V2.5-Pro: 45.4 (#37), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
LMArena Longer Query1483—

Writing & Preference Not comparable

MiMo-V2.5-Pro: 65.3 (#49), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkMiMo-V2.5-ProQwen3.7 Flash
LMArena Text1465—
LMArena Creative Writing1440—
EQ-Bench Creative Writing1493—
EQ-Bench 41208—
LMArena Multi-Turn1477—

Frequently asked questions

Is MiMo-V2.5-Pro better than Qwen3.7 Flash?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 9.9× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2.5-Pro 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; MiMo-V2.5-Pro lists at $0.43 and $0.87.

Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 1M.

How many benchmarks do MiMo-V2.5-Pro and Qwen3.7 Flash share?

1 benchmark has published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Qwen3.7 Flash has 7.

Related comparisons

Go deeper