# GLM-4.7-Flash vs Qwen3-Coder 480B-A35B Instruct

> GLM-4.7-Flash and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (38.4 vs 37.7), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 1 category and Qwen3-Coder 480B-A35B Instruct in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.5 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 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.

## Snapshot

| | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.4 | 37.7 |
| Rank | 175 | 186 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $1.50 |
| Output $/M | $0.40 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1354 | 1364 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1357 | 1337 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1331 | 1345 |
| LMArena Chinese | 1403 | 1356 |
| LMArena French | 1332 | 1394 |
| LMArena German | 1336 | 1324 |
| LMArena Korean | 1284 | 1307 |
| LMArena Russian | 1333 | 1367 |
| LMArena Spanish | 1351 | 1360 |
| LMArena Japanese | — | 1309 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1356 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1379 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | GLM-4.7-Flash | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1351 | 1356 |
| LMArena Creative Writing | 1297 | 1333 |
| LMArena Multi-Turn | 1342 | 1365 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Qwen3-Coder 480B-A35B Instruct?

GLM-4.7-Flash and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (38.4 vs 37.7), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.7-Flash or Qwen3-Coder 480B-A35B Instruct?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is GLM-4.7-Flash or Qwen3-Coder 480B-A35B Instruct better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 36.2 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-4.7-Flash and Qwen3-Coder 480B-A35B Instruct share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.