# Codellama 34b Instruct vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Qwen3 14B leads 37.3 to 28.5.

## Snapshot

| | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 35.5 |
| Rank | 287 | 225 |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1056 | — |

## Knowledge

- Codellama 34b Instruct: —
- Qwen3 14B: 39.3 (#134)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- Qwen3 14B: —

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- Qwen3 14B: —

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- Qwen3 14B: 38.1 (#204)

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1013 | — |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- Qwen3 14B: —

| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |

## FAQ

### Is Codellama 34b Instruct better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and Qwen3 14B share?

0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen3 14B has 12.