# Codellama 34b Instruct vs GLM-4.5-Air

> GLM-4.5-Air is the stronger model overall, scoring 38.9 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-glm-4-5-air
- Last updated: 2026-10-12
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GLM-4.5-Air in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 28.2.

## Snapshot

| | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 30.8 | 38.9 |
| Rank | 287 | 177 |
| Context | — | 131K |
| Input $/M | — | $0.20 |
| Output $/M | — | $1.10 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GLM-4.5-Air: 33.3 (#259)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Coding | 1046 | 1397 |
| GSO | — | 2.9% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GLM-4.5-Air: 24.1 (#166)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1379 |
| Kagi LLM Benchmark | — | 43% |
| ForecastBench | — | 59.2 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GLM-4.5-Air: 36.2 (#170)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Math | 1056 | 1396 |
| Omni-MATH | — | 39.1% |

## Knowledge

- Codellama 34b Instruct: —
- GLM-4.5-Air: 35.0 (#191)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | — | 76.2% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1370 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GLM-4.5-Air: 49.1 (#135)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Non-English | 1011 | 1366 |
| LMArena Chinese | 976 | 1426 |
| LMArena French | — | 1399 |
| LMArena German | — | 1377 |
| LMArena Japanese | — | 1348 |
| LMArena Korean | — | 1308 |
| LMArena Russian | — | 1373 |
| LMArena Spanish | — | 1386 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GLM-4.5-Air: 69.6 (#171)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Instruction Following | 1028 | 1354 |
| IFEval | — | 81.2% |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GLM-4.5-Air: 41.6 (#135)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Longer Query | 1013 | 1366 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GLM-4.5-Air: 55.9 (#139)

| Benchmark | Codellama 34b Instruct | GLM-4.5-Air |
|---|---|---|
| LMArena Text | 1066 | 1384 |
| LMArena Creative Writing | 1032 | 1343 |
| LMArena Multi-Turn | 1015 | 1371 |
| WildBench | — | 78.9% |

## FAQ

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

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 30.8 on the Noometry Index.

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

GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 28.5 in the Noometry coding category.

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

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-4.5-Air has 27.