Model comparison
Codellama 34b Instruct vs Qwen1.5-72B
Codellama 34b Instruct and Qwen1.5-72B score almost the same on the Noometry Index (30.8 vs 30.8), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Qwen1.5-72B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen1.5-72B leads 37.3 to 28.2.
Side by side
| Codellama 34b Instruct | Qwen1.5-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 30.8 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 22 |
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Category by category
Coding Qwen1.5-72B leads
Codellama 34b Instruct: 28.5 (#314), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| BigCodeBench Instruct | 29% | 33.2% |
| LMArena Coding | 1046 | 1165 |
| BigCodeBench Complete | 37.1% | 40.3% |
| HumanEval+ | 43.9% | 59.1% |
| MBPP+ | 56.3% | 61.6% |
Reasoning Qwen1.5-72B leads
Codellama 34b Instruct: 19.6 (#255), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1148 |
Math Qwen1.5-72B leads
Codellama 34b Instruct: 31.0 (#230), Qwen1.5-72B: 33.2 (#205)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1056 | 1164 |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen1.5-72B: 11.5 (#300)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |
Multilingual Qwen1.5-72B leads
Codellama 34b Instruct: 25.8 (#284), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1011 | 1135 |
| LMArena Chinese | 976 | 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 34b Instruct: 52.2 (#291), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1141 |
Long Context Qwen1.5-72B leads
Codellama 34b Instruct: 30.9 (#284), Qwen1.5-72B: 35.1 (#243)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1013 | 1157 |
Writing & Preference Qwen1.5-72B leads
Codellama 34b Instruct: 28.2 (#297), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Codellama 34b Instruct | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1066 | 1166 |
| LMArena Creative Writing | 1032 | 1137 |
| LMArena Multi-Turn | 1015 | 1160 |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen1.5-72B?
Codellama 34b Instruct and Qwen1.5-72B score almost the same on the Noometry Index (30.8 vs 30.8), so choose on price, context window or the category you care about most.
Is Codellama 34b Instruct or Qwen1.5-72B better for coding?
Qwen1.5-72B scores higher on coding benchmarks: 31.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen1.5-72B share?
14 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen1.5-72B has 22.