Model comparison

Qwen1.5-32B vs Qwen3.7 Flash

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.0 on the Noometry Index.

Last verified . 1 shared benchmarks.

Qwen1.5-32B Alibaba (Qwen)

30.0

Rank #288 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.5

Rank #152 Confirmed

Summary

  • They share 1 benchmark with published results for both. Qwen1.5-32B 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 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 30.7% for Qwen1.5-32B and 82.3% for Qwen3.7 Flash.
  • Qwen1.5-32B has downloadable open weights; the other is API-only.

Side by side

Qwen1.5-32B and Qwen3.7 Flash specifications
Qwen1.5-32BQwen3.7 Flash
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index30.039.5
Released2024-02-042026-07-15
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$0.03
Output $ / M tokens—$0.13
Results tracked217

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Category by category

Coding Not comparable

Qwen1.5-32B: 31.1 (#278), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
BigCodeBench Instruct32.3%—
LMArena Coding1155—
BigCodeBench Complete42%—

Reasoning Qwen3.7 Flash leads

Qwen1.5-32B: 20.9 (#210), Qwen3.7 Flash: 27.3 (#108)

Reasoning benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
NYT Connections (extended)—43.8%
Chess Puzzles—23%
LMArena Hard Prompts1131—
Mystery Game Puzzles—15%
Epoch Capabilities Index—144.62

Math Qwen3.7 Flash leads

Qwen1.5-32B: 30.5 (#207), Qwen3.7 Flash: 37.3 (#100)

Math benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
FrontierMath (Tiers 1-3)—19.3%
OTIS Mock AIME 2024-2025—86.7%
LMArena Math1155—

Knowledge Qwen3.7 Flash leads

Qwen1.5-32B: 13.5 (#291), Qwen3.7 Flash: 48.9 (#69)

Knowledge benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
GPQA Diamond30.7%82.3%
LMArena Expert1126—
MMLU74.4%—

Multilingual Not comparable

Qwen1.5-32B: 31.6 (#254), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
LMArena Non-English1106—
LMArena Chinese1176—
LMArena French1100—
LMArena German1058—
LMArena Japanese1027—
LMArena Korean1007—
LMArena Russian1073—
LMArena Spanish1089—

Instruction Following Not comparable

Qwen1.5-32B: 58.0 (#260), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
LMArena Instruction Following1116—

Long Context Not comparable

Qwen1.5-32B: 34.7 (#241), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
LMArena Longer Query1146—

Writing & Preference Not comparable

Qwen1.5-32B: 34.4 (#266), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkQwen1.5-32BQwen3.7 Flash
LMArena Text1137—
LMArena Creative Writing1083—
LMArena Multi-Turn1140—

Frequently asked questions

Is Qwen1.5-32B better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 30.0 on the Noometry Index.

How many benchmarks do Qwen1.5-32B and Qwen3.7 Flash share?

1 benchmark has published results for both models. Qwen1.5-32B has 21 scored results on Noometry and Qwen3.7 Flash has 7.

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