# GLM-5.1 vs Llama 13b

> GLM-5.1 is the stronger model overall, scoring 47.8 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-1-vs-llama-13b
- Last updated: 2026-10-11
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. GLM-5.1 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-5.1 leads 66.9 to 13.8.

## Snapshot

| | GLM-5.1 | Llama 13b |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 47.8 | 24.4 |
| Rank | 59 | 348 |
| Context | 200K | — |
| Input $/M | $1.40 | — |
| Output $/M | $4.40 | — |
| Weights | Open | Open |

## Coding

- GLM-5.1: 48.7 (#55)
- Llama 13b: 21.4 (#337)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Coding | 1485 | 683 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1508 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| ALE-Bench | 887.1 | — |

## Agentic & Tool Use

- GLM-5.1: 24.9 (#113)
- Llama 13b: —

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |

## Reasoning

- GLM-5.1: 39.1 (#60)
- Llama 13b: 14.0 (#329)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1472 | 728 |
| Epoch Capabilities Index | 149.84 | 100.58 |
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- GLM-5.1: 49.7 (#60)
- Llama 13b: 26.7 (#256)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Math | 1473 | 838 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 22.2% | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
| GSM8K | — | 20.6% |

## Knowledge

- GLM-5.1: 54.9 (#50)
- Llama 13b: —

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
| LMArena Expert | 1476 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- GLM-5.1: —
- Llama 13b: —

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- GLM-5.1: 55.0 (#36)
- Llama 13b: 16.6 (#297)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1447 | 819 |
| LMArena Chinese | 1515 | — |
| LMArena French | 1474 | — |
| LMArena German | 1465 | — |
| LMArena Japanese | 1434 | — |
| LMArena Korean | 1418 | — |
| LMArena Russian | 1454 | — |
| LMArena Spanish | 1469 | — |

## Instruction Following

- GLM-5.1: 76.3 (#42)
- Llama 13b: 36.7 (#305)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1451 | 781 |

## Long Context

- GLM-5.1: 44.9 (#53)
- Llama 13b: —

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1466 | — |

## Writing & Preference

- GLM-5.1: 66.9 (#31)
- Llama 13b: 13.8 (#312)

| Benchmark | GLM-5.1 | Llama 13b |
|---|---|---|
| LMArena Text | 1461 | 834 |
| LMArena Creative Writing | 1453 | 794 |
| LMArena Multi-Turn | 1472 | 753 |
| EQ-Bench Creative Writing | 1592 | — |

## FAQ

### Is GLM-5.1 better than Llama 13b?

GLM-5.1 is the stronger model overall, scoring 47.8 to 24.4 on the Noometry Index.

### Is GLM-5.1 or Llama 13b better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 21.4 in the Noometry coding category.

### How many benchmarks do GLM-5.1 and Llama 13b share?

9 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Llama 13b has 21.