Model comparison
Llama 2-7B vs Yi-34B
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Yi-34B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 7.5.
Side by side
| Llama 2-7B | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 29.1 | 27.8 |
| Released | 2023-07-18 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 23 |
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Category by category
Coding Yi-34B leads
Llama 2-7B: 29.2 (#307), Yi-34B: 32.3 (#274)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Coding | 1002 | 1112 |
Reasoning Yi-34B leads
Llama 2-7B: 15.7 (#312), Yi-34B: 21.2 (#226)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1104 |
| BIG-Bench Hard | 39.2% | 71.7% |
| Epoch Capabilities Index | 99.06 | 117.39 |
| Chess Puzzles | 0% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Yi-34B: 21.6 (#282)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Math | 1042 | 1114 |
| GSM8K | 16.7% | 76% |
| MATH Level 5 | — | 5.1% |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Yi-34B: 7.5 (#309)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Expert | 1036 | 1061 |
| MMLU | 45.8% | 76.3% |
| GPQA Diamond | — | 14.7% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Yi-34B: —
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Yi-34B leads
Llama 2-7B: 23.8 (#293), Yi-34B: 29.7 (#264)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Non-English | 973 | 1079 |
| LMArena Chinese | 973 | 1176 |
| LMArena French | 970 | 1081 |
| LMArena German | 978 | 1042 |
| LMArena Russian | 995 | 1050 |
| LMArena Spanish | 1007 | 1070 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following Yi-34B leads
Llama 2-7B: 50.8 (#298), Yi-34B: 56.2 (#274)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1091 |
Long Context Yi-34B leads
Llama 2-7B: 30.4 (#287), Yi-34B: 33.2 (#264)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 999 | 1094 |
Writing & Preference Yi-34B leads
Llama 2-7B: 28.0 (#298), Yi-34B: 34.1 (#273)
| Benchmark | Llama 2-7B | Yi-34B |
|---|---|---|
| LMArena Text | 1053 | 1129 |
| LMArena Creative Writing | 1033 | 1108 |
| LMArena Multi-Turn | 1029 | 1113 |
Frequently asked questions
Is Llama 2-7B better than Yi-34B?
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.8 on the Noometry Index.
Is Llama 2-7B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Yi-34B share?
19 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Yi-34B has 23.