Model comparison
phi-3-medium 14B vs Yi-34B
phi-3-medium 14B is the stronger model overall, scoring 29.7 to 27.8 on the Noometry Index.
Last verified . 5 shared benchmarks.
MicrosoftSummary
- They share 5 benchmarks with published results for both. phi-3-medium 14B scores higher in 3 categories and Yi-34B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where phi-3-medium 14B leads 27.3 to 21.6.
- The biggest single-benchmark swing is GPQA Diamond: 27.6% for phi-3-medium 14B and 14.7% for Yi-34B.
Side by side
| phi-3-medium 14B | Yi-34B | |
|---|---|---|
| Provider | Microsoft | 01.AI |
| Noometry Index | 29.7 | 27.8 |
| Released | 2024-04-23 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 23 |
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Category by category
Coding phi-3-medium 14B leads
phi-3-medium 14B: 36.8 (#201), Yi-34B: 32.3 (#274)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1112 |
| BigCodeBench Complete | 48.7% | — |
Reasoning Not comparable
phi-3-medium 14B: —, Yi-34B: 21.2 (#226)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| BIG-Bench Hard | 81.4% | 71.7% |
| Epoch Capabilities Index | 121.23 | 117.39 |
| LMArena Hard Prompts | — | 1104 |
| Adversarial NLI | 55.8% | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math phi-3-medium 14B leads
phi-3-medium 14B: 27.3 (#250), Yi-34B: 21.6 (#282)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| MATH Level 5 | 17.6% | 5.1% |
| LMArena Math | — | 1114 |
| GSM8K | — | 76% |
Knowledge phi-3-medium 14B leads
phi-3-medium 14B: 9.1 (#306), Yi-34B: 7.5 (#309)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| GPQA Diamond | 27.6% | 14.7% |
| MMLU | 78% | 76.3% |
| LMArena Expert | — | 1061 |
| ARC (AI2) Challenge | 91.6% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multilingual Not comparable
phi-3-medium 14B: —, Yi-34B: 29.7 (#264)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
phi-3-medium 14B: —, Yi-34B: 56.2 (#274)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
phi-3-medium 14B: —, Yi-34B: 33.2 (#264)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Yi-34B: 34.1 (#273)
| Benchmark | phi-3-medium 14B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is phi-3-medium 14B better than Yi-34B?
phi-3-medium 14B is the stronger model overall, scoring 29.7 to 27.8 on the Noometry Index.
Is phi-3-medium 14B or Yi-34B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 32.3 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Yi-34B share?
5 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Yi-34B has 23.