Model comparison
GLM-5V-Turbo vs Qwen-14B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. GLM-5V-Turbo 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-5V-Turbo leads 62.5 to 27.6.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Qwen-14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 31.4 |
| Released | 2026-04-01 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 18 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Qwen-14B: 31.2 (#288)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Coding | 1466 | 1071 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Qwen-14B: 19.6 (#257)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1027 |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Qwen-14B: 31.2 (#227)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Math | 1441 | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
GLM-5V-Turbo: 40.6 (#117), Qwen-14B: —
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Expert | 1452 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen-14B: —
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Qwen-14B: 27.5 (#275)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1420 | 1041 |
| LMArena Chinese | 1488 | 1077 |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Qwen-14B: 52.4 (#289)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1423 | 1031 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Qwen-14B: 31.3 (#280)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1438 | 1028 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Qwen-14B: 27.6 (#299)
| Benchmark | GLM-5V-Turbo | Qwen-14B |
|---|---|---|
| LMArena Text | 1437 | 1051 |
| LMArena Creative Writing | 1416 | 1028 |
| LMArena Multi-Turn | 1432 | 1022 |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen-14B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 31.4 on the Noometry Index.
Is GLM-5V-Turbo or Qwen-14B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 31.2 in the Noometry coding category.
How many benchmarks do GLM-5V-Turbo and Qwen-14B share?
10 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen-14B has 18.