# GLM-4.7-Flash vs Qwen3.5-Flash

> Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 38.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5-Flash leads 32.9 to 20.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 84.4% for Qwen3.5-Flash.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.10 / $0.40 for Qwen3.5-Flash.
- Qwen3.5-Flash accepts more context: 1M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.4 | 42.3 |
| Rank | 175 | 105 |
| Context | 200K | 1M |
| Input $/M | $0.06 | $0.10 |
| Output $/M | $0.40 | $0.40 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1383 | 1412 |
| LMArena WebDev | — | 1243 |
| ALE-Bench | — | 221.8 |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Qwen3.5-Flash: —

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 0% | 21% |
| LMArena Hard Prompts | 1356 | 1404 |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 84.4% |
| LMArena Math | 1354 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 60.5% | 82.3% |
| Vectara Hallucination Rate | 9.3% | 10.5% |
| LMArena Expert | 1357 | 1408 |
| SimpleQA Verified | — | 20.3% |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1331 | 1385 |
| LMArena Chinese | 1403 | 1446 |
| LMArena French | 1332 | 1412 |
| LMArena German | 1336 | 1389 |
| LMArena Korean | 1284 | 1344 |
| LMArena Russian | 1333 | 1379 |
| LMArena Spanish | 1351 | 1399 |
| LMArena Japanese | — | 1369 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1327 | 1374 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1345 | 1392 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | GLM-4.7-Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1351 | 1397 |
| LMArena Creative Writing | 1297 | 1343 |
| LMArena Multi-Turn | 1342 | 1393 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 38.4 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Qwen3.5-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Qwen3.5-Flash lists at $0.10 and $0.40.

### Is GLM-4.7-Flash or Qwen3.5-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 33.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Qwen3.5-Flash share?

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Qwen3.5-Flash has 32.