# GPT-4 Turbo vs Phi 3 Small 8k Instruct

> GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-turbo-vs-phi-3-small-8k-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GPT-4 Turbo scores higher in 6 categories and Phi 3 Small 8k Instruct in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Phi 3 Small 8k Instruct leads 25.4 to 8.6.
- Phi 3 Small 8k Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 30.3 | 28.8 |
| Rank | 281 | 310 |
| Context | 128K | — |
| Input $/M | $10 | — |
| Output $/M | $30 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4 Turbo: 33.4 (#247)
- Phi 3 Small 8k Instruct: 27.4 (#313)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Coding | 1268 | 1102 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| LiveBench Coding | — | 20.3% |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |

## Agentic & Tool Use

- GPT-4 Turbo: —
- Phi 3 Small 8k Instruct: —

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| METR Time Horizons | 36.7% | — |

## Reasoning

- GPT-4 Turbo: 14.9 (#311)
- Phi 3 Small 8k Instruct: 14.2 (#319)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1100 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| LiveBench Reasoning | — | 15.9% |
| DTBench | 61.6% | — |
| LiveBench Data Analysis | — | 30.3% |
| LMCA | 9.8% | — |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 79.1% |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
| HellaSwag | — | 77% |
| LiveBench | — | 24% |
| WinoGrande | — | 81.5% |

## Math

- GPT-4 Turbo: 8.6 (#316)
- Phi 3 Small 8k Instruct: 25.4 (#247)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Math | 1272 | 1151 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| LiveBench Math | — | 17.6% |
| MATH Level 5 | 46.7% | — |

## Knowledge

- GPT-4 Turbo: 24.3 (#263)
- Phi 3 Small 8k Instruct: 28.5 (#237)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Expert | 1223 | 1067 |
| MMLU | 81.3% | 75.7% |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| ARC (AI2) Challenge | — | 90.7% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 58.1% |

## Multimodal

- GPT-4 Turbo: 30.0 (#104)
- Phi 3 Small 8k Instruct: —

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Vision | 1090 | — |

## Multilingual

- GPT-4 Turbo: 40.7 (#211)
- Phi 3 Small 8k Instruct: 28.6 (#267)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Non-English | 1245 | 1058 |
| LMArena Chinese | 1242 | 1061 |
| LMArena French | 1275 | 1134 |
| LMArena German | 1259 | 1080 |
| LMArena Japanese | 1194 | 966 |
| LMArena Korean | 1187 | 894 |
| LMArena Russian | 1259 | 1111 |
| LMArena Spanish | 1260 | 1111 |

## Instruction Following

- GPT-4 Turbo: 66.0 (#211)
- Phi 3 Small 8k Instruct: 52.2 (#287)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Instruction Following | 1250 | 1087 |
| LiveBench Instruction Following | — | 47.2% |

## Long Context

- GPT-4 Turbo: 38.0 (#200)
- Phi 3 Small 8k Instruct: 33.0 (#262)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Longer Query | 1254 | 1088 |

## Writing & Preference

- GPT-4 Turbo: 47.9 (#201)
- Phi 3 Small 8k Instruct: 31.3 (#279)

| Benchmark | GPT-4 Turbo | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Text | 1272 | 1110 |
| LMArena Creative Writing | 1269 | 1083 |
| LMArena Multi-Turn | 1267 | 1068 |
| LiveBench Language | — | 12.9% |

## FAQ

### Is GPT-4 Turbo better than Phi 3 Small 8k Instruct?

GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index.

### Is GPT-4 Turbo or Phi 3 Small 8k Instruct better for coding?

GPT-4 Turbo scores higher on coding benchmarks: 33.4 versus 27.4 in the Noometry coding category.

### How many benchmarks do GPT-4 Turbo and Phi 3 Small 8k Instruct share?

18 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Phi 3 Small 8k Instruct has 32.