Model comparison
Llama 3.1-8B vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 23.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Yi-Lightning in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Yi-Lightning leads 35.4 to 8.0.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-8B | Yi-Lightning | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 23.0 | 37.1 |
| Released | 2024-07-23 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 43 | 18 |
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Category by category
Coding Yi-Lightning leads
Llama 3.1-8B: 20.2 (#340), Yi-Lightning: 27.4 (#320)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1195 | 1312 |
| Aider Polyglot | — | 12.9% |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Yi-Lightning: —
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Yi-Lightning leads
Llama 3.1-8B: 14.9 (#321), Yi-Lightning: 25.9 (#139)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1302 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Yi-Lightning leads
Llama 3.1-8B: 10.2 (#317), Yi-Lightning: 36.2 (#172)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1179 | 1300 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Yi-Lightning leads
Llama 3.1-8B: 8.0 (#307), Yi-Lightning: 35.4 (#185)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1144 | 1286 |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Yi-Lightning leads
Llama 3.1-8B: 34.0 (#249), Yi-Lightning: 42.2 (#196)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1148 | 1269 |
| LMArena Chinese | 1151 | 1320 |
| LMArena French | 1177 | 1305 |
| LMArena German | 1144 | 1267 |
| LMArena Japanese | 1061 | 1228 |
| LMArena Korean | 1053 | 1192 |
| LMArena Russian | 1158 | 1255 |
| LMArena Spanish | 1169 | 1315 |
Instruction Following Yi-Lightning leads
Llama 3.1-8B: 58.9 (#258), Yi-Lightning: 67.4 (#196)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1159 | 1278 |
| IFEval | 74.3% | — |
Long Context Yi-Lightning leads
Llama 3.1-8B: 35.8 (#238), Yi-Lightning: 39.4 (#181)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1182 | 1297 |
Writing & Preference Yi-Lightning leads
Llama 3.1-8B: 29.7 (#290), Yi-Lightning: 50.2 (#184)
| Benchmark | Llama 3.1-8B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1187 | 1302 |
| LMArena Creative Writing | 1154 | 1280 |
| LMArena Multi-Turn | 1172 | 1311 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
Frequently asked questions
Is Llama 3.1-8B better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 23.0 on the Noometry Index.
Is Llama 3.1-8B or Yi-Lightning better for coding?
Yi-Lightning scores higher on coding benchmarks: 27.4 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Yi-Lightning share?
17 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Yi-Lightning has 18.