Model comparison
Codellama 34b Instruct vs Qwen1.5-110B
Qwen1.5-110B is the stronger model overall, scoring 34.2 to 30.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Qwen1.5-110B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen1.5-110B leads 38.0 to 28.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 44.4% for Qwen1.5-110B.
Side by side
| Codellama 34b Instruct | Qwen1.5-110B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.8 | 34.2 |
| Released | — | 2024-04-25 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 20 |
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Category by category
Coding Qwen1.5-110B leads
Codellama 34b Instruct: 28.5 (#314), Qwen1.5-110B: 33.0 (#264)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| BigCodeBench Instruct | 29% | 35% |
| LMArena Coding | 1046 | 1184 |
| BigCodeBench Complete | 37.1% | 44.4% |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning Qwen1.5-110B leads
Codellama 34b Instruct: 19.6 (#255), Qwen1.5-110B: 22.7 (#189)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1168 |
| ForecastBench | — | 57.7 |
Math Qwen1.5-110B leads
Codellama 34b Instruct: 31.0 (#230), Qwen1.5-110B: 33.7 (#201)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1056 | 1185 |
Knowledge Not comparable
Codellama 34b Instruct: —, Qwen1.5-110B: 31.2 (#219)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | — | 1144 |
Multilingual Qwen1.5-110B leads
Codellama 34b Instruct: 25.8 (#284), Qwen1.5-110B: 33.6 (#250)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1011 | 1142 |
| LMArena Chinese | 976 | 1206 |
| LMArena French | — | 1151 |
| LMArena German | — | 1123 |
| LMArena Japanese | — | 1074 |
| LMArena Korean | — | 1044 |
| LMArena Russian | — | 1118 |
| LMArena Spanish | — | 1142 |
Instruction Following Qwen1.5-110B leads
Codellama 34b Instruct: 52.2 (#291), Qwen1.5-110B: 60.3 (#252)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1158 |
Long Context Qwen1.5-110B leads
Codellama 34b Instruct: 30.9 (#284), Qwen1.5-110B: 35.1 (#242)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1013 | 1157 |
Writing & Preference Qwen1.5-110B leads
Codellama 34b Instruct: 28.2 (#297), Qwen1.5-110B: 38.0 (#255)
| Benchmark | Codellama 34b Instruct | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1066 | 1175 |
| LMArena Creative Writing | 1032 | 1148 |
| LMArena Multi-Turn | 1015 | 1160 |
Frequently asked questions
Is Codellama 34b Instruct better than Qwen1.5-110B?
Qwen1.5-110B is the stronger model overall, scoring 34.2 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Qwen1.5-110B better for coding?
Qwen1.5-110B scores higher on coding benchmarks: 33.0 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Qwen1.5-110B share?
12 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Qwen1.5-110B has 20.