Model comparison
GLM-5V-Turbo vs Qwen3-Coder 480B-A35B Instruct
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 55.3.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 200K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 38.1 |
| Released | 2026-04-01 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.20 | $1.50 |
| Output $ / M tokens | $4 | $7.50 |
| Results tracked | 19 | 25 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1401 | 1275 |
| LMArena Coding | 1466 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1441 | 1365 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1452 | 1338 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1420 | 1346 |
| LMArena Chinese | 1488 | 1357 |
| LMArena French | 1444 | 1398 |
| LMArena German | 1423 | 1325 |
| LMArena Korean | 1396 | 1305 |
| LMArena Russian | 1431 | 1366 |
| LMArena Spanish | 1450 | 1360 |
| LMArena Japanese | — | 1310 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1423 | 1355 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1438 | 1378 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | GLM-5V-Turbo | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1437 | 1357 |
| LMArena Creative Writing | 1416 | 1333 |
| LMArena Multi-Turn | 1432 | 1365 |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen3-Coder 480B-A35B Instruct?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.1 on the Noometry Index.
Which is cheaper, GLM-5V-Turbo or Qwen3-Coder 480B-A35B Instruct?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is GLM-5V-Turbo or Qwen3-Coder 480B-A35B Instruct better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.