Model comparison
GPT-4.5 vs phi-3-medium 14B
GPT-4.5 is the stronger model overall, scoring 36.9 to 29.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-4.5 scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.5 leads 32.4 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 78.6% for GPT-4.5 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-4.5 | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 36.9 | 29.1 |
| Released | 2025-02-27 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 13 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 41.8 (#102), phi-3-medium 14B: 36.3 (#198)
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| BigCodeBench Instruct | — | 37.6% |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1397 | — |
| BigCodeBench Complete | — | 48.7% |
Agentic & Tool Use Not comparable
GPT-4.5: 27.6 (#92), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Not comparable
GPT-4.5: 14.1 (#320), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 136.74 | 121.18 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1404 | — |
| LiveBench Data Analysis | 64.3% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 61.7 | — |
| HellaSwag | — | 82.4% |
| LiveBench | 69% | — |
| WinoGrande | — | 81.5% |
Math GPT-4.5 leads
GPT-4.5: 31.0 (#200), phi-3-medium 14B: 25.2 (#249)
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 78.6% | 17.6% |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.4 (#205), phi-3-medium 14B: 9.1 (#301)
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 68.7% | 27.6% |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GPT-4.5: 37.0 (#68), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.7 (#78), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1421 | — |
| LMArena French | 1417 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1419 | — |
Instruction Following Not comparable
GPT-4.5: 72.8 (#129), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#150), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
GPT-4.5: 57.1 (#129), phi-3-medium 14B: —
| Benchmark | GPT-4.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1394 | — |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LMArena Multi-Turn | 1444 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than phi-3-medium 14B?
GPT-4.5 is the stronger model overall, scoring 36.9 to 29.1 on the Noometry Index.
Is GPT-4.5 or phi-3-medium 14B better for coding?
GPT-4.5 scores higher on coding benchmarks: 41.8 versus 36.3 in the Noometry coding category.
How many benchmarks do GPT-4.5 and phi-3-medium 14B share?
3 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and phi-3-medium 14B has 13.