Model comparison
Codellama 34b Instruct vs Qwen2.5-Coder-32B
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 30.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Codellama 34b Instruct scores higher in 1 category and Qwen2.5-Coder-32B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5-Coder-32B leads 41.6 to 28.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 58% for Qwen2.5-Coder-32B.
Side by side
| Codellama 34b Instruct | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 33.4 |
| Released | — | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 14 | 31 |
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Category by category
Coding Codellama 34b Instruct leads
Codellama 34b Instruct: 28.5 (#314), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| BigCodeBench Instruct | 29% | 49% |
| LMArena Coding | 1046 | 1276 |
| BigCodeBench Complete | 37.1% | 58% |
| HumanEval+ | 43.9% | 87.2% |
| MBPP+ | 56.3% | 77% |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LiveBench Coding | — | 56.9% |
Reasoning Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 19.6 (#255), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1251 |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.49 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 31.0 (#230), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1056 | 1251 |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 25.8 (#284), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1011 | 1205 |
| LMArena Chinese | 976 | 1222 |
| LMArena Russian | — | 1228 |
Instruction Following Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 52.2 (#291), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 30.9 (#284), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1013 | 1251 |
Writing & Preference Qwen2.5-Coder-32B leads
Codellama 34b Instruct: 28.2 (#297), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | Codellama 34b Instruct | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1066 | 1230 |
| LMArena Creative Writing | 1032 | 1174 |
| LMArena Multi-Turn | 1015 | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Qwen2.5-Coder-32B better for coding?
Codellama 34b Instruct scores higher on coding benchmarks: 28.5 versus 22.6 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen2.5-Coder-32B share?
14 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen2.5-Coder-32B has 31.