Model comparison
Codellama 70b Instruct vs Qwen2.5 72B Instruct
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Last verified . 6 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 6 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and Qwen2.5 72B Instruct in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen2.5 72B Instruct leads 41.0 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 55.9% for Qwen2.5 72B Instruct.
Side by side
| Codellama 70b Instruct | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 31.9 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 7 | 43 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 45.8% |
| BigCodeBench Complete | 49.6% | 55.9% |
| WeirdML | — | 16% |
| LMArena Coding | — | 1292 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Codellama 70b Instruct: 20.1 (#242), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Not comparable
Codellama 70b Instruct: —, Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multilingual Qwen2.5 72B Instruct leads
Codellama 70b Instruct: 24.8 (#288), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 992 | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1256 |
Instruction Following Qwen2.5 72B Instruct leads
Codellama 70b Instruct: 51.9 (#293), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1024 | 1254 |
| IFEval | — | 80.6% |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Qwen2.5 72B Instruct leads
Codellama 70b Instruct: 33.4 (#277), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Codellama 70b Instruct | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1057 | 1269 |
| LMArena Creative Writing | — | 1221 |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen2.5 72B Instruct?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Is Codellama 70b Instruct or Qwen2.5 72B Instruct better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 33.2 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Qwen2.5 72B Instruct share?
6 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen2.5 72B Instruct has 43.