# GLM-4.6V vs Llama2 70b Steerlm Chat

> GLM-4.6V is the stronger model overall, scoring 41.3 to 31.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-llama2-70b-steerlm-chat
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. GLM-4.6V scores higher in 6 categories and Llama2 70b Steerlm Chat in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.6 to 31.6.

## Snapshot

| | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| Provider | Z.ai (Zhipu) | NVIDIA |
| Noometry Index | 41.3 | 31.8 |
| Rank | 137 | 268 |
| Context | 128K | — |
| Input $/M | $0.30 | — |
| Output $/M | $0.90 | — |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.9 (#128)
- Llama2 70b Steerlm Chat: 29.9 (#300)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1390 | 1025 |

## Reasoning

- GLM-4.6V: 27.6 (#115)
- Llama2 70b Steerlm Chat: 20.0 (#246)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1047 |

## Math

- GLM-4.6V: —
- Llama2 70b Steerlm Chat: 31.3 (#226)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | — | 1072 |

## Knowledge

- GLM-4.6V: 38.0 (#149)
- Llama2 70b Steerlm Chat: —

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1371 | — |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- Llama2 70b Steerlm Chat: —

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1164 | — |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- Llama2 70b Steerlm Chat: 28.8 (#270)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1359 | 1063 |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- Llama2 70b Steerlm Chat: 54.2 (#279)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1352 | 1060 |

## Long Context

- GLM-4.6V: 41.3 (#143)
- Llama2 70b Steerlm Chat: 30.4 (#288)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1358 | 998 |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- Llama2 70b Steerlm Chat: 31.6 (#283)

| Benchmark | GLM-4.6V | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1377 | 1098 |
| LMArena Creative Writing | 1347 | 1091 |
| LMArena Multi-Turn | 1360 | 1058 |

## FAQ

### Is GLM-4.6V better than Llama2 70b Steerlm Chat?

GLM-4.6V is the stronger model overall, scoring 41.3 to 31.8 on the Noometry Index.

### Is GLM-4.6V or Llama2 70b Steerlm Chat better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 29.9 in the Noometry coding category.

### How many benchmarks do GLM-4.6V and Llama2 70b Steerlm Chat share?

8 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Llama2 70b Steerlm Chat has 9.
