# GLM-5.3 vs Llama 13b

> GLM-5.3 is the stronger model overall, scoring 54.8 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. GLM-5.3 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-5.3 leads 75.7 to 13.8.

## Snapshot

| | GLM-5.3 | Llama 13b |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 54.8 | 24.4 |
| Rank | 26 | 348 |
| Context | 1M | — |
| Input $/M | $1.40 | — |
| Output $/M | $4.40 | — |
| Weights | Open | Open |

## Coding

- GLM-5.3: 59.5 (#14)
- Llama 13b: 21.4 (#337)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Coding | 1496 | 683 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| CursorBench | 42.6% | — |
| LMArena WebDev | 1622 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.4 (#38)
- Llama 13b: —

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 46.1 (#46)
- Llama 13b: 14.0 (#329)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1489 | 728 |
| Epoch Capabilities Index | 155.61 | 100.58 |
| NYT Connections (extended) | 74.2% | — |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- GLM-5.3: 62.3 (#33)
- Llama 13b: 26.7 (#256)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Math | 1489 | 838 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |
| GSM8K | — | 20.6% |

## Knowledge

- GLM-5.3: 58.3 (#37)
- Llama 13b: —

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 41% | — |
| LMArena Expert | 1516 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- GLM-5.3: —
- Llama 13b: —

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- GLM-5.3: 55.7 (#28)
- Llama 13b: 16.6 (#297)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1457 | 819 |
| LMArena Chinese | 1528 | — |
| LMArena French | 1499 | — |
| LMArena German | 1499 | — |
| LMArena Japanese | 1453 | — |
| LMArena Korean | 1472 | — |
| LMArena Russian | 1463 | — |
| LMArena Spanish | 1460 | — |

## Instruction Following

- GLM-5.3: 77.5 (#23)
- Llama 13b: 36.7 (#305)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1477 | 781 |

## Long Context

- GLM-5.3: 45.4 (#41)
- Llama 13b: —

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1482 | — |

## Writing & Preference

- GLM-5.3: 75.7 (#6)
- Llama 13b: 13.8 (#312)

| Benchmark | GLM-5.3 | Llama 13b |
|---|---|---|
| LMArena Text | 1471 | 834 |
| LMArena Creative Writing | 1457 | 794 |
| LMArena Multi-Turn | 1472 | 753 |
| EQ-Bench Creative Writing | 2075 | — |

## FAQ

### Is GLM-5.3 better than Llama 13b?

GLM-5.3 is the stronger model overall, scoring 54.8 to 24.4 on the Noometry Index.

### Is GLM-5.3 or Llama 13b better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 21.4 in the Noometry coding category.

### How many benchmarks do GLM-5.3 and Llama 13b share?

9 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Llama 13b has 21.