# GLM-4.5 vs Qwen3.5-Flash

> GLM-4.5 and Qwen3.5-Flash score almost the same on the Noometry Index (41.4 vs 42.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 3 categories and Qwen3.5-Flash in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 35.5.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Qwen3.5-Flash accepts more context: 1M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 42.3 |
| Rank | 125 | 105 |
| Context | 131K | 1M |
| Input $/M | $0.60 | $0.10 |
| Output $/M | $2.20 | $0.40 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.1 (#121)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1434 | 1412 |
| ALE-Bench | 344.82 | 221.8 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1243 |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- Qwen3.5-Flash: —

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1404 |
| Kagi LLM Benchmark | 57.9% | — |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |

## Math

- GLM-4.5: 36.3 (#119)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1427 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Expert | 1433 | 1408 |
| GPQA Diamond | — | 82.3% |
| Humanity's Last Exam | 8.3% | — |
| SimpleQA Verified | — | 20.3% |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 10.5% |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1417 | 1385 |
| LMArena Chinese | 1465 | 1446 |
| LMArena French | 1423 | 1412 |
| LMArena German | 1406 | 1389 |
| LMArena Japanese | 1416 | 1369 |
| LMArena Korean | 1382 | 1344 |
| LMArena Russian | 1414 | 1379 |
| LMArena Spanish | 1454 | 1399 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1405 | 1374 |

## Long Context

- GLM-4.5: 38.2 (#196)
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1413 | 1392 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | GLM-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1430 | 1397 |
| LMArena Creative Writing | 1395 | 1343 |
| LMArena Multi-Turn | 1415 | 1393 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Qwen3.5-Flash?

GLM-4.5 and Qwen3.5-Flash score almost the same on the Noometry Index (41.4 vs 42.3), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.5 or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or Qwen3.5-Flash better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 33.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 131K.

### How many benchmarks do GLM-4.5 and Qwen3.5-Flash share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen3.5-Flash has 32.