# Codellama 34b Instruct vs GLM-4.5V

> GLM-4.5V is the stronger model overall, scoring 39.8 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-glm-4-5v
- Last updated: 2026-10-11
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GLM-4.5V in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5V leads 52.5 to 28.2.

## Snapshot

| | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 30.8 | 39.8 |
| Rank | 287 | 158 |
| Context | — | 64K |
| Input $/M | — | $0.60 |
| Output $/M | — | $1.80 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GLM-4.5V: 39.5 (#155)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Coding | 1046 | 1347 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GLM-4.5V: 27.4 (#119)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1334 |
| Kagi LLM Benchmark | — | 59.8% |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GLM-4.5V: 37.4 (#159)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Math | 1056 | 1354 |

## Knowledge

- Codellama 34b Instruct: —
- GLM-4.5V: 37.5 (#156)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Expert | — | 1353 |

## Multimodal

- Codellama 34b Instruct: —
- GLM-4.5V: 34.3 (#92)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Vision | — | 1154 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GLM-4.5V: 44.6 (#177)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Non-English | 1011 | 1303 |
| LMArena Chinese | 976 | 1337 |
| LMArena Russian | — | 1298 |
| LMArena Spanish | — | 1336 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GLM-4.5V: 69.2 (#175)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Instruction Following | 1028 | 1311 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GLM-4.5V: 39.6 (#171)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Longer Query | 1013 | 1304 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GLM-4.5V: 52.5 (#170)

| Benchmark | Codellama 34b Instruct | GLM-4.5V |
|---|---|---|
| LMArena Text | 1066 | 1333 |
| LMArena Creative Writing | 1032 | 1295 |
| LMArena Multi-Turn | 1015 | 1332 |

## FAQ

### Is Codellama 34b Instruct better than GLM-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.8 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GLM-4.5V share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-4.5V has 15.