Model comparison
Llama2 70b Steerlm Chat vs Yi-1.5-34B
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.6 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 1 category and Yi-1.5-34B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Yi-1.5-34B leads 37.4 to 31.6.
Side by side
| Llama2 70b Steerlm Chat | Yi-1.5-34B | |
|---|---|---|
| Provider | NVIDIA | 01.AI |
| Noometry Index | 31.8 | 30.6 |
| Released | — | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 21 |
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Category by category
Coding Yi-1.5-34B leads
Llama2 70b Steerlm Chat: 29.9 (#300), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1025 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Yi-1.5-34B leads
Llama2 70b Steerlm Chat: 20.0 (#246), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1160 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1072 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Yi-1.5-34B: 14.8 (#295)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
Multilingual Yi-1.5-34B leads
Llama2 70b Steerlm Chat: 28.8 (#270), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1063 | 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
Llama2 70b Steerlm Chat: 54.2 (#279), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1139 |
Long Context Yi-1.5-34B leads
Llama2 70b Steerlm Chat: 30.4 (#288), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 998 | 1143 |
Writing & Preference Yi-1.5-34B leads
Llama2 70b Steerlm Chat: 31.6 (#283), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Llama2 70b Steerlm Chat | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1098 | 1173 |
| LMArena Creative Writing | 1091 | 1135 |
| LMArena Multi-Turn | 1058 | 1153 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Yi-1.5-34B?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 30.6 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Yi-1.5-34B share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Yi-1.5-34B has 21.