Model comparison
Llama 3-8B vs Yi-Large
Llama 3-8B has enough public results to be ranked (#344); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
MetaSummary
- They share 3 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 31.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 36.9% for Llama 3-8B and 47.2% for Yi-Large.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 25.5 | 38.1 |
| Released | 2024-04-18 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Llama 3-8B: 31.0 (#289), Yi-Large: 36.7 (#203)
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 31.9% | 37.7% |
| BigCodeBench Complete | 36.9% | 47.2% |
| LMArena Coding | 1152 | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
Llama 3-8B: 14.3 (#326), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Not comparable
Llama 3-8B: 8.8 (#323), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | 1151 | — |
| MATH Level 5 | 6.1% | — |
Knowledge Not comparable
Llama 3-8B: 7.8 (#308), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| MMLU | 68.8% | 79.3% |
| GPQA Diamond | 26.1% | — |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Not comparable
Llama 3-8B: 30.8 (#261), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Not comparable
Llama 3-8B: 58.4 (#260), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1127 | — |
Long Context Not comparable
Llama 3-8B: 34.2 (#251), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1128 | — |
Writing & Preference Not comparable
Llama 3-8B: 37.5 (#256), Yi-Large: —
| Benchmark | Llama 3-8B | Yi-Large |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| LMArena Multi-Turn | 1152 | — |
Frequently asked questions
Is Llama 3-8B better than Yi-Large?
Llama 3-8B has enough public results to be ranked (#344); Yi-Large does not yet, so treat this comparison as directional.
Is Llama 3-8B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Yi-Large share?
3 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Yi-Large has 3.