# GLM-4.6 vs Qwen3.5-9B

> GLM-4.6 is the stronger model overall, scoring 41.4 to 33.8 on the Noometry Index. Qwen3.5-9B costs 8.9× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-qwen3-5-9b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GLM-4.6 scores higher in 4 categories and Qwen3.5-9B in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GLM-4.6 leads 32.3 to 14.5.
- The biggest single-benchmark swing is Terminal-Bench: 24.5% for GLM-4.6 and 9.2% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- Qwen3.5-9B accepts more context: 262K tokens versus 205K.

## Snapshot

| | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 33.8 |
| Rank | 135 | 236 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $0.10 |
| Output $/M | $2.20 | $0.15 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- Qwen3.5-9B: 35.9 (#217)

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| SciCode | 38.4% | 27.5% |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Qwen3.5-9B: 14.5 (#151)

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | 24.5% | 9.2% |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Qwen3.5-9B: 23.1 (#182)

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| CritPt | 1.1% | 0.3% |
| Kagi LLM Benchmark | 47.4% | — |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1440 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |

## Math

- GLM-4.6: 39.1 (#111)
- Qwen3.5-9B: 34.8 (#192)

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1432 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Qwen3.5-9B: 46.0 (#84)

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Vectara Hallucination Rate | 9.5% | — |
| LMArena Expert | 1431 | — |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Qwen3.5-9B: —

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1499 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1393 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1419 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Qwen3.5-9B: —

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#94)
- Qwen3.5-9B: —

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1422 | — |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Qwen3.5-9B: —

| Benchmark | GLM-4.6 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| EQ-Bench Creative Writing | 1411 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than Qwen3.5-9B?

GLM-4.6 is the stronger model overall, scoring 41.4 to 33.8 on the Noometry Index. Qwen3.5-9B costs 8.9× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 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-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or Qwen3.5-9B better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-9B does, with 262K tokens against 205K.

### How many benchmarks do GLM-4.6 and Qwen3.5-9B share?

3 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Qwen3.5-9B has 10.