# Codellama 34b Instruct vs GLM-5.2

> GLM-5.2 is the stronger model overall, scoring 50.9 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-glm-5-2
- 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-5.2 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5.2 leads 70.7 to 28.4.

## Snapshot

| | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| Provider | Meta | Z.ai (Zhipu) |
| Noometry Index | 30.2 | 50.9 |
| Rank | 285 | 38 |
| Context | — | 1M |
| Input $/M | — | $1.40 |
| Output $/M | — | $4.40 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- GLM-5.2: 50.9 (#37)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Coding | 1046 | 1484 |
| SWE-bench Verified | — | 78.7% |
| DeepSWE | — | 43.8% |
| FrontierCode | — | 24.5% |
| LMArena WebDev | — | 1604 |
| SciCode | — | 50.5% |
| WeirdML | — | 70.1% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,047 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GLM-5.2: 31.6 (#63)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 31.7% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 8,314 |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- GLM-5.2: 42.1 (#46)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1480 |
| ARC-AGI-2 | — | 22.8% |
| SimpleBench | — | 58.8% |
| Kagi LLM Benchmark | — | 62.6% |
| NYT Connections (extended) | — | 74.3% |
| ARC-AGI-1 | — | 77% |
| CritPt | — | 20.9% |
| Chess Puzzles | — | 21% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 93.6% |
| LMCA | — | 45.8% |
| Surface Evolver Bench | — | 55.6% |
| Epoch Capabilities Index | — | 151.76 |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- GLM-5.2: 55.4 (#35)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Math | 1056 | 1482 |
| FrontierMath (Tiers 1-3) | — | 59.2% |
| FrontierMath Tier 4 | — | 29.3% |
| MathArena Final-Answer Competitions | — | 67.6% |
| OTIS Mock AIME 2024-2025 | — | 86.4% |
| ProofBench | — | 35% |

## Knowledge

- Codellama 34b Instruct: —
- GLM-5.2: 57.1 (#36)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| GPQA Diamond | — | 91.9% |
| SimpleQA Verified | — | 34.2% |
| LMArena Expert | — | 1484 |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- GLM-5.2: 56.0 (#25)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Non-English | 1011 | 1459 |
| LMArena Chinese | 976 | 1518 |
| LMArena French | — | 1476 |
| LMArena German | — | 1470 |
| LMArena Japanese | — | 1451 |
| LMArena Korean | — | 1445 |
| LMArena Russian | — | 1467 |
| LMArena Spanish | — | 1477 |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- GLM-5.2: 77.1 (#32)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1465 |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- GLM-5.2: 45.3 (#43)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Longer Query | 1014 | 1479 |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- GLM-5.2: 70.7 (#20)

| Benchmark | Codellama 34b Instruct | GLM-5.2 |
|---|---|---|
| LMArena Text | 1066 | 1470 |
| LMArena Creative Writing | 1032 | 1465 |
| LMArena Multi-Turn | 1015 | 1468 |
| EQ-Bench Creative Writing | — | 1757 |
| EQ-Bench 4 | — | 1222 |

## FAQ

### Is Codellama 34b Instruct better than GLM-5.2?

GLM-5.2 is the stronger model overall, scoring 50.9 to 30.2 on the Noometry Index.

### Is Codellama 34b Instruct or GLM-5.2 better for coding?

GLM-5.2 scores higher on coding benchmarks: 50.9 versus 28.0 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GLM-5.2 share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GLM-5.2 has 50.