Model comparison
GLM-5V-Turbo vs Qwen3-1.7B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 26.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where GLM-5V-Turbo leads 39.4 to 16.3.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Qwen3-1.7B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 26.6 |
| Released | 2026-04-01 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.20 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 4 |
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Category by category
Coding Not comparable
GLM-5V-Turbo: 42.1 (#111), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena WebDev | 1401 | — |
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Qwen3-1.7B: 19.2 (#267)
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1443 | — |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Qwen3-1.7B: 16.3 (#294)
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1441 | — |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Qwen3-1.7B: 19.6 (#278)
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
GLM-5V-Turbo: 75.0 (#80), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), Qwen3-1.7B: —
| Benchmark | GLM-5V-Turbo | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen3-1.7B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 26.6 on the Noometry Index.
How many benchmarks do GLM-5V-Turbo and Qwen3-1.7B share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3-1.7B has 4.