Model comparison
GLM-5V-Turbo vs Qwen1.5-72B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Qwen1.5-72B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5V-Turbo leads 40.6 to 11.5.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Qwen1.5-72B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 30.8 |
| Released | 2026-04-01 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 22 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Qwen1.5-72B: 31.9 (#277)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1466 | 1165 |
| LMArena WebDev | 1401 | — |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Qwen1.5-72B: 22.2 (#203)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1148 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Qwen1.5-72B: 33.2 (#205)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1441 | 1164 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Qwen1.5-72B: 11.5 (#300)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Expert | 1452 | 1136 |
| GPQA Diamond | — | 28.8% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen1.5-72B: —
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Qwen1.5-72B: 33.2 (#253)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1420 | 1135 |
| LMArena Chinese | 1488 | 1186 |
| LMArena French | 1444 | 1159 |
| LMArena German | 1423 | 1084 |
| LMArena Korean | 1396 | 1050 |
| LMArena Russian | 1431 | 1104 |
| LMArena Spanish | 1450 | 1110 |
| LMArena Japanese | — | 1061 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Qwen1.5-72B: 59.3 (#256)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1141 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Qwen1.5-72B: 35.1 (#243)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1438 | 1157 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Qwen1.5-72B: 37.3 (#258)
| Benchmark | GLM-5V-Turbo | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1437 | 1166 |
| LMArena Creative Writing | 1416 | 1137 |
| LMArena Multi-Turn | 1432 | 1160 |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen1.5-72B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 30.8 on the Noometry Index.
Is GLM-5V-Turbo or Qwen1.5-72B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 31.9 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Qwen1.5-72B share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen1.5-72B has 22.