Model comparison
GLM-4.5-Air vs Qwen1.5-14B
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 32.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. GLM-4.5-Air scores higher in 8 categories and Qwen1.5-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 33.6.
Side by side
| GLM-4.5-Air | Qwen1.5-14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 32.7 |
| Released | 2025-07-20 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 17 |
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Category by category
Coding Too close to call
GLM-4.5-Air: 33.3 (#259), Qwen1.5-14B: 33.1 (#263)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1397 | 1138 |
| GSO | 2.9% | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), Qwen1.5-14B: 21.4 (#223)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1113 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math GLM-4.5-Air leads
GLM-4.5-Air: 36.2 (#170), Qwen1.5-14B: 32.4 (#215)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1396 | 1125 |
| Omni-MATH | 39.1% | — |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 35.0 (#191), Qwen1.5-14B: 29.8 (#232)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1370 | 1094 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| MMLU | — | 68.6% |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.1 (#135), Qwen1.5-14B: 30.7 (#262)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1366 | 1095 |
| LMArena Chinese | 1426 | 1147 |
| LMArena French | 1399 | 1116 |
| LMArena German | 1377 | 1043 |
| LMArena Japanese | 1348 | 1019 |
| LMArena Russian | 1373 | 1046 |
| LMArena Spanish | 1386 | 1085 |
| LMArena Korean | 1308 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), Qwen1.5-14B: 56.8 (#271)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1354 | 1102 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#135), Qwen1.5-14B: 33.7 (#257)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1366 | 1113 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Qwen1.5-14B: 33.6 (#276)
| Benchmark | GLM-4.5-Air | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1384 | 1128 |
| LMArena Creative Writing | 1343 | 1091 |
| LMArena Multi-Turn | 1371 | 1110 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen1.5-14B?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 32.7 on the Noometry Index.
Is GLM-4.5-Air or Qwen1.5-14B better for coding?
They score almost the same on coding (33.3 vs 33.1); test both on your own repository before choosing.
How many benchmarks do GLM-4.5-Air and Qwen1.5-14B share?
16 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen1.5-14B has 17.