Model comparison

GLM-4.5-Air vs Qwen3.5 Plus

Qwen3.5 Plus is the stronger model overall, scoring 42.3 to 38.7 on the Noometry Index. GLM-4.5-Air costs 2.1× less per token, which makes it the better buy when Qwen3.5 Plus's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

Qwen3.5 Plus Alibaba (Qwen)

42.3

Rank #103 Confirmed

Summary

  • They share 1 benchmark with published results for both. GLM-4.5-Air scores higher in 0 categories and Qwen3.5 Plus in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 Plus leads 47.9 to 33.8.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.40 / $2.40 for Qwen3.5 Plus.
  • Qwen3.5 Plus 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 Qwen3.5 Plus specifications
GLM-4.5-AirQwen3.5 Plus
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index38.742.3
Released2025-07-202026-02-16
WeightsOpenProprietary
Context window131K1M
Max output98K66K
Input $ / M tokens$0.20$0.40
Output $ / M tokens$1.10$2.40
Results tracked2715

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Category by category

Coding Not comparable

GLM-4.5-Air: 34.5 (#225), Qwen3.5 Plus: —

Coding benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
GSO2.9%—
LMArena Coding1397—
ALE-Bench—621.92

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, Qwen3.5 Plus: —

Agentic & Tool Use benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
Vending-Bench 2—0.54

Reasoning Qwen3.5 Plus leads

GLM-4.5-Air: 23.3 (#166), Qwen3.5 Plus: 32.0 (#67)

Reasoning benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
Kagi LLM Benchmark43%—
Chess Puzzles—22%
LMArena Hard Prompts1379—
Mystery Game Puzzles—17%
DTBench—80.5%
LMCA—36.4%
Epoch Capabilities Index—146.79
ForecastBench59.2—

Math Qwen3.5 Plus leads

GLM-4.5-Air: 33.8 (#166), Qwen3.5 Plus: 47.9 (#55)

Math benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH39.1%—
LMArena Math1396—
FrontierMath (Feb 2025 set)—21%
FrontierMath Tier 4 (v1)—2.1%

Knowledge Qwen3.5 Plus leads

GLM-4.5-Air: 34.6 (#184), Qwen3.5 Plus: 46.0 (#78)

Knowledge benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
Vectara Hallucination Rate9.3%10.7%
GPQA Diamond—84.8%
Humanity's Last Exam8.1%—
SimpleQA Verified—25.4%
MMLU-Pro76.2%—
GPQA (HELM)59.4%—
LMArena Expert1370—

Multilingual Not comparable

GLM-4.5-Air: 49.4 (#130), Qwen3.5 Plus: —

Multilingual benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
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), Qwen3.5 Plus: —

Instruction Following benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
IFEval81.2%—
LMArena Instruction Following1353—

Long Context Qwen3.5 Plus leads

GLM-4.5-Air: 41.6 (#130), Qwen3.5 Plus: 42.9 (#109)

Long Context benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
CL-bench—19.8%
CL-bench Life—12.4%
LMArena Longer Query1367—

Writing & Preference Not comparable

GLM-4.5-Air: 56.1 (#134), Qwen3.5 Plus: —

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirQwen3.5 Plus
LMArena Text1384—
LMArena Creative Writing1343—
WildBench78.9%—
LMArena Multi-Turn1371—

Frequently asked questions

Is GLM-4.5-Air better than Qwen3.5 Plus?

Qwen3.5 Plus is the stronger model overall, scoring 42.3 to 38.7 on the Noometry Index. GLM-4.5-Air costs 2.1× less per token, which makes it the better buy when Qwen3.5 Plus's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or Qwen3.5 Plus?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Qwen3.5 Plus lists at $0.40 and $2.40.

Which has the bigger context window?

Qwen3.5 Plus does, with 1M tokens against 131K.

How many benchmarks do GLM-4.5-Air and Qwen3.5 Plus share?

1 benchmark has published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen3.5 Plus has 15.

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