# GPT-5.3 Chat vs phi-3-medium 14B

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-phi-3-medium-14b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where GPT-5.3 Chat leads 38.8 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 42.8 | 29.7 |
| Rank | 109 | 306 |
| Context | 128K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 41.4 (#124)
- phi-3-medium 14B: 36.8 (#201)

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1408 | — |
| BigCodeBench Complete | — | 48.7% |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- phi-3-medium 14B: —

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1399 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |

## Math

- GPT-5.3 Chat: 38.2 (#142)
- phi-3-medium 14B: 27.3 (#250)

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1389 | — |
| MATH Level 5 | — | 17.6% |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- phi-3-medium 14B: 9.1 (#306)

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1397 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- phi-3-medium 14B: —

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- phi-3-medium 14B: —

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1378 | — |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- phi-3-medium 14B: —

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1396 | — |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- phi-3-medium 14B: —

| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| EQ-Bench Creative Writing | 1690 | — |
| LMArena Multi-Turn | 1412 | — |

## FAQ

### Is GPT-5.3 Chat better than phi-3-medium 14B?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.7 on the Noometry Index.

### Is GPT-5.3 Chat or phi-3-medium 14B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 36.8 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Chat and phi-3-medium 14B share?

0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and phi-3-medium 14B has 13.