# Codellama 34b Instruct vs GLM-4.6

> GLM-4.6 is the stronger model overall, scoring 40.9 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GLM-4.6 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 28.4.

## Snapshot

| | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 30.2 | 40.9 |
| Rank | 285 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- GLM-4.6: 39.9 (#137)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1046 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 340.82 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GLM-4.6: 32.1 (#60)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- GLM-4.6: 23.1 (#168)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- GLM-4.6: 36.4 (#115)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Math | 1056 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Codellama 34b Instruct: —
- GLM-4.6: 39.6 (#118)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| Vectara Hallucination Rate | — | 9.5% |
| LMArena Expert | — | 1432 |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- GLM-4.6: 53.6 (#62)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1011 | 1426 |
| LMArena Chinese | 976 | 1500 |
| LMArena French | — | 1459 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1401 |
| LMArena Russian | — | 1418 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- GLM-4.6: 74.5 (#93)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1410 |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- GLM-4.6: 43.4 (#91)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1014 | 1423 |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- GLM-4.6: 61.3 (#86)

| Benchmark | Codellama 34b Instruct | GLM-4.6 |
|---|---|---|
| LMArena Text | 1066 | 1440 |
| LMArena Creative Writing | 1032 | 1411 |
| LMArena Multi-Turn | 1015 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Codellama 34b Instruct better than GLM-4.6?

GLM-4.6 is the stronger model overall, scoring 40.9 to 30.2 on the Noometry Index.

### Is Codellama 34b Instruct or GLM-4.6 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 28.0 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GLM-4.6 share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-4.6 has 29.