Model comparison
Codellama 34b Instruct vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen3 14B leads 37.3 to 28.5.
Side by side
| Codellama 34b Instruct | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 35.5 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 14 | 12 |
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Category by category
Coding Qwen3 14B leads
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 Not comparable
Codellama 34b Instruct: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Codellama 34b Instruct leads
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 Qwen3 14B leads
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 Not comparable
Codellama 34b Instruct: —, Qwen3 14B: 39.3 (#134)
| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), Qwen3 14B: —
| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), Qwen3 14B: —
| Benchmark | Codellama 34b Instruct | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Qwen3 14B leads
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 Not comparable
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 | — |
Frequently asked questions
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.