Model comparison
Codellama 34b Instruct vs Qwen2.5 Plus 1127
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Qwen2.5 Plus 1127 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 Plus 1127 leads 49.4 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 38.8 |
| Released | — | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 14 |
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Category by category
Coding Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 28.5 (#314), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1046 | 1314 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 19.6 (#255), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1299 |
Math Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 31.0 (#230), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1056 | 1298 |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | — | 1289 |
Multilingual Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 25.8 (#284), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1011 | 1265 |
| LMArena Chinese | 976 | 1314 |
| LMArena German | — | 1231 |
| LMArena Japanese | — | 1207 |
| LMArena Russian | — | 1271 |
Instruction Following Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 52.2 (#291), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1275 |
Long Context Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 30.9 (#284), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1013 | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
Codellama 34b Instruct: 28.2 (#297), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | Codellama 34b Instruct | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1066 | 1299 |
| LMArena Creative Writing | 1032 | 1262 |
| LMArena Multi-Turn | 1015 | 1299 |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen2.5 Plus 1127?
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen2.5 Plus 1127 share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen2.5 Plus 1127 has 14.