Model comparison
Llama 13b vs Yi-34B
Yi-34B is the stronger model overall, scoring 27.8 to 24.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Llama 13b scores higher in 1 category and Yi-34B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Yi-34B leads 34.1 to 13.8.
Side by side
| Llama 13b | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 24.4 | 27.8 |
| Released | 2023-02-24 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 23 |
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Category by category
Coding Yi-34B leads
Llama 13b: 21.4 (#337), Yi-34B: 32.3 (#274)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Coding | 683 | 1112 |
Reasoning Yi-34B leads
Llama 13b: 14.0 (#329), Yi-34B: 21.2 (#226)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1104 |
| BIG-Bench Hard | 37.9% | 71.7% |
| Epoch Capabilities Index | 100.58 | 117.39 |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Llama 13b leads
Llama 13b: 26.7 (#256), Yi-34B: 21.6 (#282)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Math | 838 | 1114 |
| GSM8K | 20.6% | 76% |
| MATH Level 5 | — | 5.1% |
Knowledge Not comparable
Llama 13b: —, Yi-34B: 7.5 (#309)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| MMLU | 47.7% | 76.3% |
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Yi-34B: —
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Yi-34B leads
Llama 13b: 16.6 (#297), Yi-34B: 29.7 (#264)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Non-English | 819 | 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
Llama 13b: 36.7 (#305), Yi-34B: 56.2 (#274)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 781 | 1091 |
Long Context Not comparable
Llama 13b: —, Yi-34B: 33.2 (#264)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Yi-34B leads
Llama 13b: 13.8 (#312), Yi-34B: 34.1 (#273)
| Benchmark | Llama 13b | Yi-34B |
|---|---|---|
| LMArena Text | 834 | 1129 |
| LMArena Creative Writing | 794 | 1108 |
| LMArena Multi-Turn | 753 | 1113 |
Frequently asked questions
Is Llama 13b better than Yi-34B?
Yi-34B is the stronger model overall, scoring 27.8 to 24.4 on the Noometry Index.
Is Llama 13b or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Yi-34B share?
12 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Yi-34B has 23.