# GPT-6.1 Sol vs phi-3-medium 14B

> phi-3-medium 14B has enough public results to be ranked (#306); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-phi-3-medium-14b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 36.3.
- phi-3-medium 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 42.1 | 29.1 |
| Rank | — | 306 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 51.4
- phi-3-medium 14B: 36.3 (#198)

| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| DeepSWE | 75.2% | — |
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 48.7% |

## Agentic & Tool Use

- GPT-6.1 Sol: 34.3
- phi-3-medium 14B: —

| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: —
- phi-3-medium 14B: —

| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- GPT-6.1 Sol: —
- phi-3-medium 14B: 25.2 (#249)

| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | — | 17.6% |

## Knowledge

- GPT-6.1 Sol: —
- phi-3-medium 14B: 9.1 (#301)

| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## FAQ

### Is GPT-6.1 Sol better than phi-3-medium 14B?

phi-3-medium 14B has enough public results to be ranked (#306); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Is GPT-6.1 Sol or phi-3-medium 14B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 36.3 in the Noometry coding category.

### How many benchmarks do GPT-6.1 Sol and phi-3-medium 14B share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and phi-3-medium 14B has 13.