# GLM-4.5V vs Llama 2-70B

> GLM-4.5V is the stronger model overall, scoring 39.8 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-llama-2-70b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5V leads 37.5 to 7.4.

## Snapshot

| | GLM-4.5V | Llama 2-70B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 39.8 | 24.4 |
| Rank | 158 | 349 |
| Context | 64K | — |
| Input $/M | $0.60 | — |
| Output $/M | $1.80 | — |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- Llama 2-70B: 31.4 (#286)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1347 | 1079 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Llama 2-70B: 14.4 (#325)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1073 |
| Kagi LLM Benchmark | 59.8% | — |
| 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-4.5V: 37.4 (#159)
- Llama 2-70B: 8.1 (#326)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Math | 1354 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Llama 2-70B: 7.4 (#310)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1353 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Llama 2-70B: —

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Llama 2-70B: 27.7 (#274)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1303 | 1045 |
| LMArena Chinese | 1337 | 995 |
| LMArena Russian | 1298 | 1083 |
| LMArena Spanish | 1336 | 1143 |
| LMArena French | — | 1090 |
| LMArena German | — | 1041 |
| LMArena Japanese | — | 927 |
| LMArena Korean | — | 964 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Llama 2-70B: 54.9 (#278)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1071 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Llama 2-70B: 32.3 (#270)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1304 | 1062 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Llama 2-70B: 32.3 (#279)

| Benchmark | GLM-4.5V | Llama 2-70B |
|---|---|---|
| LMArena Text | 1333 | 1115 |
| LMArena Creative Writing | 1295 | 1075 |
| LMArena Multi-Turn | 1332 | 1088 |

## FAQ

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

GLM-4.5V is the stronger model overall, scoring 39.8 to 24.4 on the Noometry Index.

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

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 31.4 in the Noometry coding category.

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

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Llama 2-70B has 35.