# GLM-4.5 vs Qwen3-Coder 480B-A35B Instruct

> GLM-4.5 is the stronger model overall, scoring 41.4 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 22

## 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; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 53.0 to 47.8.
- 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.

## Snapshot

| | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 37.7 |
| Rank | 125 | 186 |
| Context | 131K | 262K |
| Input $/M | $0.60 | $1.50 |
| Output $/M | $2.20 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| 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 | 1413 |
| ALE-Bench | 344.82 | 461.45 |
| AlgoTune | 1.52 | 1.44 |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |

## Agentic & Tool Use

- GLM-4.5: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 49.5% |
| LMArena Hard Prompts | 1430 | 1372 |

## Math

- GLM-4.5: 36.3 (#119)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1427 | 1364 |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1433 | 1337 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1417 | 1345 |
| LMArena Chinese | 1465 | 1356 |
| LMArena French | 1423 | 1394 |
| LMArena German | 1406 | 1324 |
| LMArena Japanese | 1416 | 1309 |
| LMArena Korean | 1382 | 1307 |
| LMArena Russian | 1414 | 1367 |
| LMArena Spanish | 1454 | 1360 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1405 | 1356 |

## Long Context

- GLM-4.5: 38.2 (#196)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1379 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | GLM-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1430 | 1356 |
| LMArena Creative Writing | 1395 | 1333 |
| LMArena Multi-Turn | 1415 | 1365 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Qwen3-Coder 480B-A35B Instruct?

GLM-4.5 is the stronger model overall, scoring 41.4 to 37.7 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: 41.1 versus 36.2 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.