Model comparison
Llama2 70b Steerlm Chat vs Yi-34B
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 27.8 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-34B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 21.6.
Side by side
| Llama2 70b Steerlm Chat | Yi-34B | |
|---|---|---|
| Provider | NVIDIA | 01.AI |
| Noometry Index | 31.8 | 27.8 |
| Released | — | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-34B leads
Llama2 70b Steerlm Chat: 29.9 (#300), Yi-34B: 32.3 (#274)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Coding | 1025 | 1112 |
Reasoning Yi-34B leads
Llama2 70b Steerlm Chat: 20.0 (#246), Yi-34B: 21.2 (#226)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Yi-34B: 21.6 (#282)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Math | 1072 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Yi-34B: 7.5 (#309)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Too close to call
Llama2 70b Steerlm Chat: 28.8 (#270), Yi-34B: 29.7 (#264)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Non-English | 1063 | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Llama2 70b Steerlm Chat: 54.2 (#279), Yi-34B: 56.2 (#274)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1091 |
Long Context Yi-34B leads
Llama2 70b Steerlm Chat: 30.4 (#288), Yi-34B: 33.2 (#264)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Longer Query | 998 | 1094 |
Writing & Preference Yi-34B leads
Llama2 70b Steerlm Chat: 31.6 (#283), Yi-34B: 34.1 (#273)
| Benchmark | Llama2 70b Steerlm Chat | Yi-34B |
|---|---|---|
| LMArena Text | 1098 | 1129 |
| LMArena Creative Writing | 1091 | 1108 |
| LMArena Multi-Turn | 1058 | 1113 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Yi-34B?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 27.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Yi-34B share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Yi-34B has 23.