Model comparison

GLM-4.5-Air vs Qwen3.7 Flash

GLM-4.5-Air and Qwen3.7 Flash score almost the same on the Noometry Index (38.7 vs 39.5), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.5

Rank #152 Confirmed

Summary

  • The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 34.6.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • Qwen3.7 Flash accepts more context: 1M tokens versus 131K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-Air and Qwen3.7 Flash specifications
GLM-4.5-AirQwen3.7 Flash
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index38.739.5
Released2025-07-202026-07-15
WeightsOpenProprietary
Context window131K1M
Max output98K131K
Input $ / M tokens$0.20$0.03
Output $ / M tokens$1.10$0.13
Results tracked277

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Category by category

Coding Not comparable

GLM-4.5-Air: 34.5 (#225), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
GSO2.9%—
LMArena Coding1397—

Reasoning Qwen3.7 Flash leads

GLM-4.5-Air: 23.3 (#166), Qwen3.7 Flash: 27.3 (#108)

Reasoning benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
Kagi LLM Benchmark43%—
NYT Connections (extended)—43.8%
Chess Puzzles—23%
LMArena Hard Prompts1379—
Mystery Game Puzzles—15%
Epoch Capabilities Index—144.62
ForecastBench59.2—

Math Qwen3.7 Flash leads

GLM-4.5-Air: 33.8 (#166), Qwen3.7 Flash: 37.3 (#100)

Math benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
FrontierMath (Tiers 1-3)—19.3%
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH39.1%—
LMArena Math1396—

Knowledge Qwen3.7 Flash leads

GLM-4.5-Air: 34.6 (#184), Qwen3.7 Flash: 48.9 (#69)

Knowledge benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
GPQA Diamond—82.3%
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—
LMArena Expert1370—

Multilingual Not comparable

GLM-4.5-Air: 49.4 (#130), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
LMArena Non-English1366—
LMArena Chinese1427—
LMArena French1399—
LMArena German1376—
LMArena Japanese1348—
LMArena Korean1306—
LMArena Russian1373—
LMArena Spanish1385—

Instruction Following Not comparable

GLM-4.5-Air: 69.8 (#165), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
IFEval81.2%—
LMArena Instruction Following1353—

Long Context Not comparable

GLM-4.5-Air: 41.6 (#130), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
LMArena Longer Query1367—

Writing & Preference Not comparable

GLM-4.5-Air: 56.1 (#134), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirQwen3.7 Flash
LMArena Text1384—
LMArena Creative Writing1343—
WildBench78.9%—
LMArena Multi-Turn1371—

Frequently asked questions

Is GLM-4.5-Air better than Qwen3.7 Flash?

GLM-4.5-Air and Qwen3.7 Flash score almost the same on the Noometry Index (38.7 vs 39.5), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.5-Air 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; GLM-4.5-Air lists at $0.20 and $1.10.

Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 131K.

How many benchmarks do GLM-4.5-Air and Qwen3.7 Flash share?

0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen3.7 Flash has 7.

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