# phi-3-medium 14B vs Yi-1.5-34B

> Yi-1.5-34B is the stronger model overall, scoring 30.2 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/phi-3-medium-14b-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. phi-3-medium 14B scores higher in 1 category and Yi-1.5-34B in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Yi-1.5-34B leads 14.8 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 17.6% for phi-3-medium 14B and 25.5% for Yi-1.5-34B.

## Snapshot

| | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| Provider | Microsoft | 01.AI |
| Noometry Index | 29.1 | 30.2 |
| Rank | 306 | 286 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- phi-3-medium 14B: 36.3 (#198)
- Yi-1.5-34B: 31.9 (#267)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 37.6% | 33.9% |
| BigCodeBench Complete | 48.7% | 43.8% |
| LMArena Coding | — | 1169 |

## Reasoning

- phi-3-medium 14B: —
- Yi-1.5-34B: 21.5 (#195)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | — | 1160 |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| Epoch Capabilities Index | 121.18 | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |

## Math

- phi-3-medium 14B: 25.2 (#249)
- Yi-1.5-34B: 25.3 (#248)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| MATH Level 5 | 17.6% | 25.5% |
| LMArena Math | — | 1182 |

## Knowledge

- phi-3-medium 14B: 9.1 (#301)
- Yi-1.5-34B: 14.8 (#290)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 27.6% | 32% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |

## Multilingual

- phi-3-medium 14B: —
- Yi-1.5-34B: 32.5 (#251)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1120 |

## Instruction Following

- phi-3-medium 14B: —
- Yi-1.5-34B: 59.4 (#252)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |

## Long Context

- phi-3-medium 14B: —
- Yi-1.5-34B: 34.6 (#243)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1144 |

## Writing & Preference

- phi-3-medium 14B: —
- Yi-1.5-34B: 37.6 (#252)

| Benchmark | phi-3-medium 14B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |

## FAQ

### Is phi-3-medium 14B better than Yi-1.5-34B?

Yi-1.5-34B is the stronger model overall, scoring 30.2 to 29.1 on the Noometry Index.

### Is phi-3-medium 14B or Yi-1.5-34B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 31.9 in the Noometry coding category.

### How many benchmarks do phi-3-medium 14B and Yi-1.5-34B share?

4 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Yi-1.5-34B has 21.