Model comparison
GLM-4.5 vs Qwen2.5 Plus 1127
GLM-4.5 is the stronger model overall, scoring 41.4 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Qwen2.5 Plus 1127 in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 53.0 to 42.1.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 38.1 |
| Released | 2025-07-27 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 98K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $2.20 | — |
| Results tracked | 27 | 14 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.1 (#121), Qwen2.5 Plus 1127: 37.9 (#171)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1434 | 1314 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 27.7 (#99), Qwen2.5 Plus 1127: 24.8 (#139)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1299 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 36.3 (#119), Qwen2.5 Plus 1127: 33.5 (#175)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1427 | 1298 |
Knowledge Too close to call
GLM-4.5: 35.5 (#172), Qwen2.5 Plus 1127: 34.9 (#179)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1433 | 1289 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 53.0 (#74), Qwen2.5 Plus 1127: 42.1 (#196)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1417 | 1265 |
| LMArena Chinese | 1465 | 1314 |
| LMArena German | 1406 | 1231 |
| LMArena Japanese | 1416 | 1207 |
| LMArena Russian | 1414 | 1271 |
| LMArena French | 1423 | — |
| LMArena Korean | 1382 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.3 (#100), Qwen2.5 Plus 1127: 67.4 (#194)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1275 |
Long Context Too close to call
GLM-4.5: 38.2 (#196), Qwen2.5 Plus 1127: 39.2 (#180)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1413 | 1292 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.7 (#121), Qwen2.5 Plus 1127: 49.5 (#186)
| Benchmark | GLM-4.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1430 | 1299 |
| LMArena Creative Writing | 1395 | 1262 |
| LMArena Multi-Turn | 1415 | 1299 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Qwen2.5 Plus 1127?
GLM-4.5 is the stronger model overall, scoring 41.4 to 38.1 on the Noometry Index.
Is GLM-4.5 or Qwen2.5 Plus 1127 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.1 versus 37.9 in the Noometry coding category.
How many benchmarks do GLM-4.5 and Qwen2.5 Plus 1127 share?
14 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen2.5 Plus 1127 has 14.