Model comparison
GLM-4.5-Air vs Qwen-14B
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. GLM-4.5-Air scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 56.1 to 27.8.
Side by side
| GLM-4.5-Air | Qwen-14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 30.8 |
| Released | 2025-07-20 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 18 |
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Category by category
Coding GLM-4.5-Air leads
GLM-4.5-Air: 34.5 (#225), Qwen-14B: 30.6 (#283)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Coding | 1397 | 1072 |
| GSO | 2.9% | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 23.3 (#166), Qwen-14B: 18.7 (#255)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1027 |
| Kagi LLM Benchmark | 43% | — |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 112.8 |
| ForecastBench | 59.2 | — |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math GLM-4.5-Air leads
GLM-4.5-Air: 33.8 (#166), Qwen-14B: 28.7 (#224)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Math | 1396 | 1068 |
| Omni-MATH | 39.1% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
GLM-4.5-Air: 34.6 (#184), Qwen-14B: —
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.4 (#130), Qwen-14B: 27.7 (#270)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1366 | 1042 |
| LMArena Chinese | 1427 | 1077 |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.8 (#165), Qwen-14B: 52.6 (#284)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1353 | 1031 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#130), Qwen-14B: 31.3 (#276)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1367 | 1029 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 56.1 (#134), Qwen-14B: 27.8 (#294)
| Benchmark | GLM-4.5-Air | Qwen-14B |
|---|---|---|
| LMArena Text | 1384 | 1051 |
| LMArena Creative Writing | 1343 | 1028 |
| LMArena Multi-Turn | 1371 | 1022 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen-14B?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 30.8 on the Noometry Index.
Is GLM-4.5-Air or Qwen-14B better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 34.5 versus 30.6 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Qwen-14B share?
10 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen-14B has 18.