# GLM-5.1 vs Llama 2-7B

> GLM-5.1 is the stronger model overall, scoring 47.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-1-vs-llama-2-7b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5.1 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5.1 leads 66.9 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 19% for GLM-5.1 and 0% for Llama 2-7B.

## Snapshot

| | GLM-5.1 | Llama 2-7B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 47.8 | 29.1 |
| Rank | 59 | 317 |
| Context | 200K | — |
| Input $/M | $1.40 | — |
| Output $/M | $4.40 | — |
| Weights | Open | Open |

## Coding

- GLM-5.1: 48.7 (#55)
- Llama 2-7B: 29.2 (#307)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1485 | 1002 |
| 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 2-7B: —

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |

## Reasoning

- GLM-5.1: 39.1 (#60)
- Llama 2-7B: 15.7 (#312)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 19% | 0% |
| LMArena Hard Prompts | 1472 | 1009 |
| Epoch Capabilities Index | 149.84 | 99.06 |
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Thematic Generalization | 69.8% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- GLM-5.1: 49.7 (#60)
- Llama 2-7B: 30.7 (#233)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1473 | 1042 |
| 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 | — | 16.7% |

## Knowledge

- GLM-5.1: 54.9 (#50)
- Llama 2-7B: 28.2 (#248)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1476 | 1036 |
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- GLM-5.1: —
- Llama 2-7B: —

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- GLM-5.1: 55.0 (#36)
- Llama 2-7B: 23.8 (#293)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1447 | 973 |
| LMArena Chinese | 1515 | 973 |
| LMArena French | 1474 | 970 |
| LMArena German | 1465 | 978 |
| LMArena Russian | 1454 | 995 |
| LMArena Spanish | 1469 | 1007 |
| LMArena Japanese | 1434 | — |
| LMArena Korean | 1418 | — |

## Instruction Following

- GLM-5.1: 76.3 (#42)
- Llama 2-7B: 50.8 (#298)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1451 | 1006 |

## Long Context

- GLM-5.1: 44.9 (#53)
- Llama 2-7B: 30.4 (#287)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1466 | 999 |

## Writing & Preference

- GLM-5.1: 66.9 (#31)
- Llama 2-7B: 28.0 (#298)

| Benchmark | GLM-5.1 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1461 | 1053 |
| LMArena Creative Writing | 1453 | 1033 |
| LMArena Multi-Turn | 1472 | 1029 |
| EQ-Bench Creative Writing | 1592 | — |

## FAQ

### Is GLM-5.1 better than Llama 2-7B?

GLM-5.1 is the stronger model overall, scoring 47.8 to 29.1 on the Noometry Index.

### Is GLM-5.1 or Llama 2-7B better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 29.2 in the Noometry coding category.

### How many benchmarks do GLM-5.1 and Llama 2-7B share?

17 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Llama 2-7B has 29.