# GLM-4.5 vs Llama 2-70B

> 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-2-70b
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 8.1.

## Snapshot

| | GLM-4.5 | Llama 2-70B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 42.0 | 24.4 |
| Rank | 122 | 349 |
| Context | 131K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- Llama 2-70B: 31.4 (#286)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1434 | 1079 |
| 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 2-70B: 14.4 (#325)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1073 |
| Kagi LLM Benchmark | 57.9% | — |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.79 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- GLM-4.5: 39.0 (#116)
- Llama 2-70B: 8.1 (#326)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Math | 1427 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Llama 2-70B: 7.4 (#310)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1433 | 1039 |
| GPQA Diamond | — | 26.3% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Llama 2-70B: 27.7 (#274)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1417 | 1045 |
| LMArena Chinese | 1465 | 995 |
| LMArena French | 1418 | 1090 |
| LMArena German | 1407 | 1041 |
| LMArena Japanese | 1415 | 927 |
| LMArena Korean | 1380 | 964 |
| LMArena Russian | 1414 | 1083 |
| LMArena Spanish | 1454 | 1143 |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Llama 2-70B: 54.9 (#278)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1071 |

## Long Context

- GLM-4.5: 38.2 (#201)
- Llama 2-70B: 32.3 (#270)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1412 | 1062 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Llama 2-70B: 32.3 (#279)

| Benchmark | GLM-4.5 | Llama 2-70B |
|---|---|---|
| LMArena Text | 1430 | 1115 |
| LMArena Creative Writing | 1395 | 1075 |
| LMArena Multi-Turn | 1415 | 1088 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Llama 2-70B?

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

### Is GLM-4.5 or Llama 2-70B better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 31.4 in the Noometry coding category.

### How many benchmarks do GLM-4.5 and Llama 2-70B share?

17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Llama 2-70B has 35.