Model comparison
GPT-4 Turbo vs phi-3-medium 14B
GPT-4 Turbo and phi-3-medium 14B score almost the same on the Noometry Index (30.5 vs 29.7), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. GPT-4 Turbo 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 27.3 to 9.0.
- The biggest single-benchmark swing is MATH Level 5: 46.7% for GPT-4 Turbo and 17.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 30.5 | 29.7 |
| Released | 2023-11-06 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 13 |
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Category by category
Coding phi-3-medium 14B leads
GPT-4 Turbo: 33.8 (#249), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 48.2% | 37.6% |
| BigCodeBench Complete | 58.2% | 48.7% |
| WeirdML | 18% | — |
| LMArena Coding | 1268 | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Not comparable
GPT-4 Turbo: 15.3 (#317), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 127.25 | 121.23 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 59.4 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
GPT-4 Turbo: 9.0 (#322), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 46.7% | 17.6% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| LMArena Math | 1272 | — |
Knowledge GPT-4 Turbo leads
GPT-4 Turbo: 24.3 (#268), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 46.6% | 27.6% |
| MMLU | 81.3% | 78% |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
| ARC (AI2) Challenge | — | 91.6% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Not comparable
GPT-4 Turbo: 40.5 (#216), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1276 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Not comparable
GPT-4 Turbo: 65.8 (#216), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
GPT-4 Turbo: 38.0 (#206), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1254 | — |
Writing & Preference Not comparable
GPT-4 Turbo: 47.7 (#206), phi-3-medium 14B: —
| Benchmark | GPT-4 Turbo | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1272 | — |
| LMArena Creative Writing | 1269 | — |
| LMArena Multi-Turn | 1267 | — |
Frequently asked questions
Is GPT-4 Turbo better than phi-3-medium 14B?
GPT-4 Turbo and phi-3-medium 14B score almost the same on the Noometry Index (30.5 vs 29.7), so choose on price, context window or the category you care about most.
Is GPT-4 Turbo or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and phi-3-medium 14B share?
6 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and phi-3-medium 14B has 13.