Model comparison
Codellama 70b Instruct vs Yi-1.5-34B
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Last verified . 6 shared benchmarks.
MetaSummary
- They share 6 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and Yi-1.5-34B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Yi-1.5-34B leads 32.3 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Instruct: 40.7% for Codellama 70b Instruct and 33.9% for Yi-1.5-34B.
Side by side
| Codellama 70b Instruct | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 33.7 | 30.6 |
| Released | — | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 21 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 33.9% |
| BigCodeBench Complete | 49.6% | 43.8% |
| LMArena Coding | — | 1169 |
| HumanEval+ | 65.9% | — |
Reasoning Yi-1.5-34B leads
Codellama 70b Instruct: 20.1 (#242), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1160 |
Math Not comparable
Codellama 70b Instruct: —, Yi-1.5-34B: 27.5 (#249)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Not comparable
Codellama 70b Instruct: —, Yi-1.5-34B: 14.8 (#295)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
Multilingual Yi-1.5-34B leads
Codellama 70b Instruct: 24.8 (#288), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 992 | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following Yi-1.5-34B leads
Codellama 70b Instruct: 51.9 (#293), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1024 | 1139 |
Long Context Not comparable
Codellama 70b Instruct: —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference Yi-1.5-34B leads
Codellama 70b Instruct: 33.4 (#277), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Codellama 70b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1057 | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is Codellama 70b Instruct better than Yi-1.5-34B?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Is Codellama 70b Instruct or Yi-1.5-34B better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 32.4 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Yi-1.5-34B share?
6 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Yi-1.5-34B has 21.