# phi-3-medium 14B vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/phi-3-medium-14b-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 9.1.

## Snapshot

| | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| Provider | Microsoft | Arcee AI |
| Noometry Index | 29.7 | 38.6 |
| Rank | 306 | 185 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Open | Open |

## Coding

- phi-3-medium 14B: 36.8 (#201)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1381 |
| BigCodeBench Complete | 48.7% | — |

## Reasoning

- phi-3-medium 14B: —
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| Epoch Capabilities Index | 121.23 | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |

## Math

- phi-3-medium 14B: 27.3 (#250)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
| MATH Level 5 | 17.6% | — |

## Knowledge

- phi-3-medium 14B: 9.1 (#306)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 27.6% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |

## Multilingual

- phi-3-medium 14B: —
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- phi-3-medium 14B: —
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |

## Long Context

- phi-3-medium 14B: —
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |

## Writing & Preference

- phi-3-medium 14B: —
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | phi-3-medium 14B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is phi-3-medium 14B better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.7 on the Noometry Index.

### Is phi-3-medium 14B or Trinity Large Thinking better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 34.1 in the Noometry coding category.

### How many benchmarks do phi-3-medium 14B and Trinity Large Thinking share?

0 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Trinity Large Thinking has 24.