# GPT-4o mini vs phi-3-medium 14B

> phi-3-medium 14B is the stronger model overall, scoring 29.1 to 25.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-mini-vs-phi-3-medium-14b
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. GPT-4o mini scores higher in 1 category and phi-3-medium 14B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where phi-3-medium 14B leads 25.2 to 9.9.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 17.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 25.4 | 29.1 |
| Rank | 337 | 306 |
| Context | 128K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4o mini: 21.6 (#330)
- phi-3-medium 14B: 36.3 (#198)

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 37.6% |
| BigCodeBench Complete | 57.4% | 48.7% |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o mini: 27.2 (#95)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| BALROG | 17.4% | — |

## Reasoning

- GPT-4o mini: 8.7 (#343)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 126.56 | 121.18 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| LMArena Hard Prompts | 1267 | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| HellaSwag | — | 82.4% |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
| WinoGrande | — | 81.5% |

## Math

- GPT-4o mini: 9.9 (#307)
- phi-3-medium 14B: 25.2 (#249)

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 52.6% | 17.6% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| LMArena Math | 1267 | — |
| GSM8K | 91.3% | — |

## Knowledge

- GPT-4o mini: 17.7 (#279)
- phi-3-medium 14B: 9.1 (#301)

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 37.7% | 27.6% |
| MMLU | 81.8% | 78% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| ARC (AI2) Challenge | — | 91.6% |
| BoolQ | 88.7% | — |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |

## Multimodal

- GPT-4o mini: 25.3 (#117)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |

## Multilingual

- GPT-4o mini: 42.2 (#194)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1266 | — |
| LMArena Chinese | 1264 | — |
| LMArena French | 1296 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
| LMArena Russian | 1275 | — |
| LMArena Spanish | 1276 | — |

## Instruction Following

- GPT-4o mini: 62.1 (#234)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1259 | — |

## Long Context

- GPT-4o mini: 39.1 (#181)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1289 | — |

## Writing & Preference

- GPT-4o mini: 39.7 (#243)
- phi-3-medium 14B: —

| Benchmark | GPT-4o mini | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1286 | — |
| LMArena Creative Writing | 1268 | — |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LMArena Multi-Turn | 1285 | — |
| LiveBench Language | 28.6% | — |

## FAQ

### Is GPT-4o mini better than phi-3-medium 14B?

phi-3-medium 14B is the stronger model overall, scoring 29.1 to 25.4 on the Noometry Index.

### Is GPT-4o mini or phi-3-medium 14B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 21.6 in the Noometry coding category.

### How many benchmarks do GPT-4o mini and phi-3-medium 14B share?

6 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and phi-3-medium 14B has 13.