# GLM-4.5 vs Llama 13b

> GLM-4.5 is the stronger model overall, scoring 42.0 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-llama-13b
- Last updated: 2026-10-11
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5 leads 57.5 to 13.8.

## Snapshot

| | GLM-4.5 | Llama 13b |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 42.0 | 24.4 |
| Rank | 122 | 348 |
| Context | 131K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- Llama 13b: 21.4 (#337)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Coding | 1434 | 683 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Llama 13b: 14.0 (#329)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1429 | 728 |
| Kagi LLM Benchmark | 57.9% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- GLM-4.5: 39.0 (#116)
- Llama 13b: 26.7 (#256)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Math | 1427 | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Llama 13b: —

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- GLM-4.5: —
- Llama 13b: —

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Llama 13b: 16.6 (#297)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1417 | 819 |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Llama 13b: 36.7 (#305)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1404 | 781 |

## Long Context

- GLM-4.5: 38.2 (#201)
- Llama 13b: —

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Llama 13b: 13.8 (#312)

| Benchmark | GLM-4.5 | Llama 13b |
|---|---|---|
| LMArena Text | 1430 | 834 |
| LMArena Creative Writing | 1395 | 794 |
| LMArena Multi-Turn | 1415 | 753 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Llama 13b?

GLM-4.5 is the stronger model overall, scoring 42.0 to 24.4 on the Noometry Index.

### Is GLM-4.5 or Llama 13b better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 21.4 in the Noometry coding category.

### How many benchmarks do GLM-4.5 and Llama 13b share?

8 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Llama 13b has 21.