Model comparison
Codellama 34b Instruct vs Qwen2.5-Coder (1.5B)
Codellama 34b Instruct has enough public results to be ranked (#287); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Side by side
| Codellama 34b Instruct | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | — |
| Released | — | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 6 |
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Category by category
Coding Not comparable
Codellama 34b Instruct: 28.5 (#314), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Not comparable
Codellama 34b Instruct: 19.6 (#255), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Hard Prompts | 1032 | — |
| Epoch Capabilities Index | — | 113.14 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Codellama 34b Instruct: 31.0 (#230), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Math | 1056 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Not comparable
Codellama 34b Instruct: 52.2 (#291), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Not comparable
Codellama 34b Instruct: 28.2 (#297), Qwen2.5-Coder (1.5B): —
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen2.5-Coder (1.5B)?
Codellama 34b Instruct has enough public results to be ranked (#287); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Codellama 34b Instruct and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.