Model comparison
Codellama 70b Instruct vs Qwen1.5-72B
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.8 on the Noometry Index.
Last verified . 7 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 7 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and Qwen1.5-72B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen1.5-72B leads 33.2 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 40.3% for Qwen1.5-72B.
Side by side
| Codellama 70b Instruct | Qwen1.5-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 33.7 | 30.8 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 22 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 33.2% |
| BigCodeBench Complete | 49.6% | 40.3% |
| HumanEval+ | 65.9% | 59.1% |
| LMArena Coding | — | 1165 |
| MBPP+ | — | 61.6% |
Reasoning Qwen1.5-72B leads
Codellama 70b Instruct: 20.1 (#242), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1148 |
Math Not comparable
Codellama 70b Instruct: —, Qwen1.5-72B: 33.2 (#205)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Math | — | 1164 |
Knowledge Not comparable
Codellama 70b Instruct: —, Qwen1.5-72B: 11.5 (#300)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |
Multilingual Qwen1.5-72B leads
Codellama 70b Instruct: 24.8 (#288), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 992 | 1135 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |
Instruction Following Qwen1.5-72B leads
Codellama 70b Instruct: 51.9 (#293), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1024 | 1141 |
Long Context Not comparable
Codellama 70b Instruct: —, Qwen1.5-72B: 35.1 (#243)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | — | 1157 |
Writing & Preference Qwen1.5-72B leads
Codellama 70b Instruct: 33.4 (#277), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Codellama 70b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1057 | 1166 |
| LMArena Creative Writing | — | 1137 |
| LMArena Multi-Turn | — | 1160 |
Frequently asked questions
Is Codellama 70b Instruct better than Qwen1.5-72B?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.8 on the Noometry Index.
Is Codellama 70b Instruct or Qwen1.5-72B better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 31.9 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Qwen1.5-72B share?
7 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Qwen1.5-72B has 22.