Model comparison
phi-3-medium 14B vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where Yi-Lightning leads 35.4 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| phi-3-medium 14B | Yi-Lightning | |
|---|---|---|
| Provider | Microsoft | 01.AI |
| Noometry Index | 29.7 | 37.1 |
| Released | 2024-04-23 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 18 |
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Category by category
Coding phi-3-medium 14B leads
phi-3-medium 14B: 36.8 (#201), Yi-Lightning: 27.4 (#320)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| Aider Polyglot | — | 12.9% |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1312 |
| BigCodeBench Complete | 48.7% | — |
Reasoning Not comparable
phi-3-medium 14B: —, Yi-Lightning: 25.9 (#139)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | — | 1302 |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| Epoch Capabilities Index | 121.23 | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math Yi-Lightning leads
phi-3-medium 14B: 27.3 (#250), Yi-Lightning: 36.2 (#172)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Math | — | 1300 |
| MATH Level 5 | 17.6% | — |
Knowledge Yi-Lightning leads
phi-3-medium 14B: 9.1 (#306), Yi-Lightning: 35.4 (#185)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| GPQA Diamond | 27.6% | — |
| LMArena Expert | — | 1286 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multilingual Not comparable
phi-3-medium 14B: —, Yi-Lightning: 42.2 (#196)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1320 |
| LMArena French | — | 1305 |
| LMArena German | — | 1267 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1192 |
| LMArena Russian | — | 1255 |
| LMArena Spanish | — | 1315 |
Instruction Following Not comparable
phi-3-medium 14B: —, Yi-Lightning: 67.4 (#196)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1278 |
Long Context Not comparable
phi-3-medium 14B: —, Yi-Lightning: 39.4 (#181)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | — | 1297 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Yi-Lightning: 50.2 (#184)
| Benchmark | phi-3-medium 14B | Yi-Lightning |
|---|---|---|
| LMArena Text | — | 1302 |
| LMArena Creative Writing | — | 1280 |
| LMArena Multi-Turn | — | 1311 |
Frequently asked questions
Is phi-3-medium 14B better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 29.7 on the Noometry Index.
Is phi-3-medium 14B or Yi-Lightning better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 27.4 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Yi-Lightning share?
0 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Yi-Lightning has 18.