Model comparison
Llama 3.1-70B vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Yi-Lightning in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-Lightning leads 36.2 to 13.5.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-70B | Yi-Lightning | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 29.6 | 37.1 |
| Released | 2024-07-23 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 18 |
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Category by category
Coding Llama 3.1-70B leads
Llama 3.1-70B: 30.3 (#296), Yi-Lightning: 27.4 (#320)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1260 | 1312 |
| Aider Polyglot | — | 12.9% |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Yi-Lightning: —
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Yi-Lightning leads
Llama 3.1-70B: 21.6 (#220), Yi-Lightning: 25.9 (#139)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1302 |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Yi-Lightning leads
Llama 3.1-70B: 13.5 (#304), Yi-Lightning: 36.2 (#172)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1252 | 1300 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Yi-Lightning leads
Llama 3.1-70B: 24.2 (#269), Yi-Lightning: 35.4 (#185)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1209 | 1286 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multilingual Yi-Lightning leads
Llama 3.1-70B: 38.8 (#225), Yi-Lightning: 42.2 (#196)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1219 | 1269 |
| LMArena Chinese | 1215 | 1320 |
| LMArena French | 1261 | 1305 |
| LMArena German | 1222 | 1267 |
| LMArena Japanese | 1132 | 1228 |
| LMArena Korean | 1140 | 1192 |
| LMArena Russian | 1234 | 1255 |
| LMArena Spanish | 1253 | 1315 |
Instruction Following Yi-Lightning leads
Llama 3.1-70B: 65.3 (#223), Yi-Lightning: 67.4 (#196)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1231 | 1278 |
| IFEval | 82.1% | — |
Long Context Yi-Lightning leads
Llama 3.1-70B: 37.6 (#214), Yi-Lightning: 39.4 (#181)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1241 | 1297 |
Writing & Preference Yi-Lightning leads
Llama 3.1-70B: 35.4 (#267), Yi-Lightning: 50.2 (#184)
| Benchmark | Llama 3.1-70B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1261 | 1302 |
| LMArena Creative Writing | 1232 | 1280 |
| LMArena Multi-Turn | 1256 | 1311 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 29.6 on the Noometry Index.
Is Llama 3.1-70B or Yi-Lightning better for coding?
Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 27.4 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Yi-Lightning share?
17 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Yi-Lightning has 18.