Model comparison
GLM-4.5-Air vs Qwen3-4B
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GLM-4.5-Air scores higher in 3 categories and Qwen3-4B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5-Air leads 33.8 to 28.5.
Side by side
| GLM-4.5-Air | Qwen3-4B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 31.5 |
| Released | 2025-07-20 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 6 |
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Category by category
Coding Not comparable
GLM-4.5-Air: 34.5 (#225), Qwen3-4B: —
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
Agentic & Tool Use Not comparable
GLM-4.5-Air: —, Qwen3-4B: 27.3 (#94)
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 23.3 (#166), Qwen3-4B: 18.5 (#264)
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1379 | — |
| ForecastBench | 59.2 | — |
Math GLM-4.5-Air leads
GLM-4.5-Air: 33.8 (#166), Qwen3-4B: 28.5 (#228)
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 34.6 (#184), Qwen3-4B: 33.0 (#198)
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 5.7% |
| GPQA Diamond | — | 52.3% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.4 (#130), Qwen3-4B: —
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.8 (#165), Qwen3-4B: —
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#130), Qwen3-4B: —
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 56.1 (#134), Qwen3-4B: —
| Benchmark | GLM-4.5-Air | Qwen3-4B |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen3-4B?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.5 on the Noometry Index.
How many benchmarks do GLM-4.5-Air and Qwen3-4B share?
1 benchmark has published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen3-4B has 6.