Model comparison
GLM-4.5-Air vs Qwen2.5 Plus 1127
GLM-4.5-Air and Qwen2.5 Plus 1127 score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. GLM-4.5-Air scores higher in 5 categories and Qwen2.5 Plus 1127 in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5-Air leads 49.1 to 41.9.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 38.8 |
| Released | 2025-07-20 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.10 | — |
| Results tracked | 27 | 14 |
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Category by category
Coding Qwen2.5 Plus 1127 leads
GLM-4.5-Air: 33.3 (#259), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1397 | 1314 |
| GSO | 2.9% | — |
Reasoning Qwen2.5 Plus 1127 leads
GLM-4.5-Air: 24.1 (#166), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1299 |
| Kagi LLM Benchmark | 43% | — |
| ForecastBench | 59.2 | — |
Math Too close to call
GLM-4.5-Air: 36.2 (#170), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1396 | 1298 |
| Omni-MATH | 39.1% | — |
Knowledge Too close to call
GLM-4.5-Air: 35.0 (#191), Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1370 | 1289 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual GLM-4.5-Air leads
GLM-4.5-Air: 49.1 (#135), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1366 | 1265 |
| LMArena Chinese | 1426 | 1314 |
| LMArena German | 1377 | 1231 |
| LMArena Japanese | 1348 | 1207 |
| LMArena Russian | 1373 | 1271 |
| LMArena French | 1399 | — |
| LMArena Korean | 1308 | — |
| LMArena Spanish | 1386 | — |
Instruction Following GLM-4.5-Air leads
GLM-4.5-Air: 69.6 (#171), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1354 | 1275 |
| IFEval | 81.2% | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#135), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1366 | 1292 |
Writing & Preference GLM-4.5-Air leads
GLM-4.5-Air: 55.9 (#139), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | GLM-4.5-Air | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1384 | 1299 |
| LMArena Creative Writing | 1343 | 1262 |
| LMArena Multi-Turn | 1371 | 1299 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen2.5 Plus 1127?
GLM-4.5-Air and Qwen2.5 Plus 1127 score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Is GLM-4.5-Air or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 33.3 in the Noometry coding category.
How many benchmarks do GLM-4.5-Air and Qwen2.5 Plus 1127 share?
14 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen2.5 Plus 1127 has 14.