# GLM-4.5 vs Qwen3.5-9B

> GLM-4.5 is the stronger model overall, scoring 41.4 to 33.3 on the Noometry Index. Qwen3.5-9B costs 8.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-qwen3-5-9b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 35.5.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Qwen3.5-9B accepts more context: 262K tokens versus 131K.

## Snapshot

| | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 33.3 |
| Rank | 125 | 235 |
| Context | 131K | 262K |
| Input $/M | $0.60 | $0.10 |
| Output $/M | $2.20 | $0.15 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- Qwen3.5-9B: 35.3 (#213)

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 27.5% |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- Qwen3.5-9B: 14.4 (#143)

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Qwen3.5-9B: 22.5 (#178)

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1430 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |

## Math

- GLM-4.5: 36.3 (#119)
- Qwen3.5-9B: 33.5 (#174)

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Qwen3.5-9B: 46.0 (#77)

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Qwen3.5-9B: —

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Qwen3.5-9B: —

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1405 | — |

## Long Context

- GLM-4.5: 38.2 (#196)
- Qwen3.5-9B: —

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Qwen3.5-9B: —

| Benchmark | GLM-4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |

## FAQ

### Is GLM-4.5 better than Qwen3.5-9B?

GLM-4.5 is the stronger model overall, scoring 41.4 to 33.3 on the Noometry Index. Qwen3.5-9B costs 8.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5 or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or Qwen3.5-9B better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 35.3 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-9B does, with 262K tokens against 131K.

### How many benchmarks do GLM-4.5 and Qwen3.5-9B share?

0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen3.5-9B has 10.