Model comparison
Llama 3.1-8B vs Yi-Large
Llama 3.1-8B has enough public results to be ranked (#352); 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 3.1-8B 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 20.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 40.5% for Llama 3.1-8B and 47.2% for Yi-Large.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 23.0 | 38.1 |
| Released | 2024-07-23 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 43 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Llama 3.1-8B: 20.2 (#340), Yi-Large: 36.7 (#203)
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 32.8% | 37.7% |
| BigCodeBench Complete | 40.5% | 47.2% |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| LMArena Coding | 1195 | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Not comparable
Llama 3.1-8B: 14.9 (#321), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1175 | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Not comparable
Llama 3.1-8B: 10.2 (#317), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| LMArena Math | 1179 | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Not comparable
Llama 3.1-8B: 8.0 (#307), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| MMLU | 56.1% | 79.3% |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
Multilingual Not comparable
Llama 3.1-8B: 34.0 (#249), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1148 | — |
| LMArena Chinese | 1151 | — |
| LMArena French | 1177 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Not comparable
Llama 3.1-8B: 58.9 (#258), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| IFEval | 74.3% | — |
| LMArena Instruction Following | 1159 | — |
Long Context Not comparable
Llama 3.1-8B: 35.8 (#238), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1182 | — |
Writing & Preference Not comparable
Llama 3.1-8B: 29.7 (#290), Yi-Large: —
| Benchmark | Llama 3.1-8B | Yi-Large |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1154 | — |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
| LMArena Multi-Turn | 1172 | — |
Frequently asked questions
Is Llama 3.1-8B better than Yi-Large?
Llama 3.1-8B has enough public results to be ranked (#352); Yi-Large does not yet, so treat this comparison as directional.
Is Llama 3.1-8B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Yi-Large share?
3 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Yi-Large has 3.