Model comparison
GLM-4.5 vs Qwen3-Coder 480B-A35B Instruct
GLM-4.5 is the stronger model overall, scoring 42.0 to 38.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5 leads 41.4 to 35.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- GLM-4.5 is cheaper at $0.60 / $2.20 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 131K.
Side by side
| GLM-4.5 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 42.0 | 38.1 |
| Released | 2025-07-27 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 66K |
| Input $ / M tokens | $0.60 | $1.50 |
| Output $ / M tokens | $2.20 | $7.50 |
| Results tracked | 27 | 25 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | 55.4% |
| WeirdML | 40.6% | 41.2% |
| LMArena Coding | 1434 | 1412 |
| ALE-Bench | 344.82 | 461.45 |
| AlgoTune | 1.52 | 1.44 |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
Agentic & Tool Use Not comparable
GLM-4.5: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 49.5% |
| LMArena Hard Prompts | 1429 | 1372 |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1427 | 1365 |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5: 35.9 (#179), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1433 | 1338 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1417 | 1346 |
| LMArena Chinese | 1465 | 1357 |
| LMArena French | 1418 | 1398 |
| LMArena German | 1407 | 1325 |
| LMArena Japanese | 1415 | 1310 |
| LMArena Korean | 1380 | 1305 |
| LMArena Russian | 1414 | 1366 |
| LMArena Spanish | 1454 | 1360 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5: 38.2 (#201), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1412 | 1378 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1430 | 1357 |
| LMArena Creative Writing | 1395 | 1333 |
| LMArena Multi-Turn | 1415 | 1365 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Qwen3-Coder 480B-A35B Instruct?
GLM-4.5 is the stronger model overall, scoring 42.0 to 38.1 on the Noometry Index.
Which is cheaper, GLM-4.5 or Qwen3-Coder 480B-A35B Instruct?
GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is GLM-4.5 or Qwen3-Coder 480B-A35B Instruct better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 131K.
How many benchmarks do GLM-4.5 and Qwen3-Coder 480B-A35B Instruct share?
22 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.