# Codellama 34b Instruct vs Qwen3.8 27B

> Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-qwen3-8-27b
- 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 Qwen3.8 27B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 28.2.

## Snapshot

| | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 46.0 |
| Rank | 287 | 68 |
| Context | — | 262K |
| Input $/M | — | $0.04 |
| Output $/M | — | $2.30 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- Qwen3.8 27B: 50.5 (#44)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1046 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- Qwen3.8 27B: 32.9 (#57)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- Qwen3.8 27B: 41.0 (#54)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- Qwen3.8 27B: 37.1 (#161)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1056 | 1456 |
| ProofBench | — | 16% |

## Knowledge

- Codellama 34b Instruct: —
- Qwen3.8 27B: 41.6 (#109)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | — | 1482 |

## Multimodal

- Codellama 34b Instruct: —
- Qwen3.8 27B: 41.3 (#37)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- Qwen3.8 27B: 53.7 (#60)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1011 | 1430 |
| LMArena Chinese | 976 | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- Qwen3.8 27B: 75.8 (#53)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1439 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- Qwen3.8 27B: 44.3 (#70)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1013 | 1450 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- Qwen3.8 27B: 65.8 (#43)

| Benchmark | Codellama 34b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1066 | 1441 |
| LMArena Creative Writing | 1032 | 1384 |
| LMArena Multi-Turn | 1015 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |

## FAQ

### Is Codellama 34b Instruct better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or Qwen3.8 27B better for coding?

Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and Qwen3.8 27B share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3.8 27B has 31.