Model comparison
Codellama 34b Instruct vs Qwen2.5 7B Instruct
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 29.0 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Codellama 34b Instruct scores higher in 2 categories and Qwen2.5 7B Instruct in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 28.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 46.1% for Qwen2.5 7B Instruct.
Side by side
| Codellama 34b Instruct | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 29.0 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 14 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 7B Instruct leads
Codellama 34b Instruct: 28.5 (#314), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | 29% | 37.6% |
| BigCodeBench Complete | 37.1% | 46.1% |
| LMArena Coding | 1046 | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 19.6 (#255), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Codellama 34b Instruct leads
Codellama 34b Instruct: 31.0 (#230), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1056 | — |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |
Multilingual Not comparable
Codellama 34b Instruct: 25.8 (#284), Qwen2.5 7B Instruct: —
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |
Instruction Following Qwen2.5 7B Instruct leads
Codellama 34b Instruct: 52.2 (#291), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1028 | — |
Long Context Not comparable
Codellama 34b Instruct: 30.9 (#284), Qwen2.5 7B Instruct: —
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1013 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Codellama 34b Instruct: 28.2 (#297), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Codellama 34b Instruct | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1015 | — |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen2.5 7B Instruct?
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 29.0 on the Noometry Index.
Is Codellama 34b Instruct or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen2.5 7B Instruct share?
2 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen2.5 7B Instruct has 15.