# GLM-4.5 vs Qwen3-4B

> GLM-4.5 is the stronger model overall, scoring 41.4 to 31.5 on the Noometry Index.

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

## Summary

- The widest gap is in reasoning, where GLM-4.5 leads 27.7 to 18.5.

## Snapshot

| | GLM-4.5 | Qwen3-4B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 31.5 |
| Rank | 125 | 261 |
| Context | 131K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- Qwen3-4B: —

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- Qwen3-4B: 27.3 (#94)

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Qwen3-4B: 18.5 (#264)

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1430 | — |

## Math

- GLM-4.5: 36.3 (#119)
- Qwen3-4B: 28.5 (#228)

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Qwen3-4B: 33.0 (#198)

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1433 | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Qwen3-4B: —

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| 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)
- Qwen3-4B: —

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1405 | — |

## Long Context

- GLM-4.5: 38.2 (#196)
- Qwen3-4B: —

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Qwen3-4B: —

| Benchmark | GLM-4.5 | Qwen3-4B |
|---|---|---|
| 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 Qwen3-4B?

GLM-4.5 is the stronger model overall, scoring 41.4 to 31.5 on the Noometry Index.

### How many benchmarks do GLM-4.5 and Qwen3-4B share?

0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen3-4B has 6.