Model comparison
Llama 3-8B vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 3-8B scores higher in 1 category and Yi-Lightning in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Yi-Lightning leads 35.4 to 7.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Yi-Lightning | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 25.5 | 37.1 |
| Released | 2024-04-18 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 18 |
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Category by category
Coding Llama 3-8B leads
Llama 3-8B: 31.0 (#289), Yi-Lightning: 27.4 (#320)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1152 | 1312 |
| Aider Polyglot | — | 12.9% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Yi-Lightning leads
Llama 3-8B: 14.3 (#326), Yi-Lightning: 25.9 (#139)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1302 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Yi-Lightning leads
Llama 3-8B: 8.8 (#323), Yi-Lightning: 36.2 (#172)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1151 | 1300 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Yi-Lightning leads
Llama 3-8B: 7.8 (#308), Yi-Lightning: 35.4 (#185)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1113 | 1286 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Yi-Lightning leads
Llama 3-8B: 30.8 (#261), Yi-Lightning: 42.2 (#196)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1098 | 1269 |
| LMArena Chinese | 1076 | 1320 |
| LMArena French | 1159 | 1305 |
| LMArena German | 1104 | 1267 |
| LMArena Japanese | 967 | 1228 |
| LMArena Korean | 1004 | 1192 |
| LMArena Russian | 1109 | 1255 |
| LMArena Spanish | 1173 | 1315 |
Instruction Following Yi-Lightning leads
Llama 3-8B: 58.4 (#260), Yi-Lightning: 67.4 (#196)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1127 | 1278 |
Long Context Yi-Lightning leads
Llama 3-8B: 34.2 (#251), Yi-Lightning: 39.4 (#181)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1128 | 1297 |
Writing & Preference Yi-Lightning leads
Llama 3-8B: 37.5 (#256), Yi-Lightning: 50.2 (#184)
| Benchmark | Llama 3-8B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1166 | 1302 |
| LMArena Creative Writing | 1150 | 1280 |
| LMArena Multi-Turn | 1152 | 1311 |
Frequently asked questions
Is Llama 3-8B better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 25.5 on the Noometry Index.
Is Llama 3-8B or Yi-Lightning better for coding?
Llama 3-8B scores higher on coding benchmarks: 31.0 versus 27.4 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Yi-Lightning share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Yi-Lightning has 18.