Model comparison
Llama 3.1-70B vs Yi-Large
Llama 3.1-70B has enough public results to be ranked (#308); 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 3.1-70B 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 30.3.
- The biggest single-benchmark swing is BigCodeBench Instruct: 46.1% for Llama 3.1-70B and 37.7% for Yi-Large.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-70B | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 29.6 | 38.1 |
| Released | 2024-07-23 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Llama 3.1-70B: 30.3 (#296), Yi-Large: 36.7 (#203)
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 37.7% |
| BigCodeBench Complete | 54.8% | 47.2% |
| WeirdML | 9% | — |
| LMArena Coding | 1260 | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Not comparable
Llama 3.1-70B: 21.6 (#220), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Not comparable
Llama 3.1-70B: 13.5 (#304), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |
Knowledge Not comparable
Llama 3.1-70B: 24.2 (#269), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| MMLU | 80.1% | 79.3% |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
Multilingual Not comparable
Llama 3.1-70B: 38.8 (#225), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Not comparable
Llama 3.1-70B: 65.3 (#223), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |
Long Context Not comparable
Llama 3.1-70B: 37.6 (#214), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1241 | — |
Writing & Preference Not comparable
Llama 3.1-70B: 35.4 (#267), Yi-Large: —
| Benchmark | Llama 3.1-70B | Yi-Large |
|---|---|---|
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |
Frequently asked questions
Is Llama 3.1-70B better than Yi-Large?
Llama 3.1-70B has enough public results to be ranked (#308); Yi-Large does not yet, so treat this comparison as directional.
Is Llama 3.1-70B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 30.3 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Yi-Large share?
3 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Yi-Large has 3.