Model comparison
GPT-4.5 vs Phi 3 Mini 4k Instruct
GPT-4.5 is the stronger model overall, scoring 37.2 to 27.9 on the Noometry Index.
Last verified . 23 shared benchmarks.
MicrosoftSummary
- They share 23 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Phi 3 Mini 4k Instruct in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 27.6.
- The biggest single-benchmark swing is LiveBench Coding: 75.2% for GPT-4.5 and 15.5% for Phi 3 Mini 4k Instruct.
- Phi 3 Mini 4k Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 37.2 | 27.9 |
| Released | 2025-02-27 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 35 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Coding | 75.2% | 15.5% |
| LMArena Coding | 1396 | 1093 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Phi 3 Mini 4k Instruct: —
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Too close to call
GPT-4.5: 13.9 (#330), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Reasoning | 71.1% | 26.8% |
| LMArena Hard Prompts | 1403 | 1072 |
| LiveBench Data Analysis | 64.3% | 34.7% |
| LiveBench | 69% | 22.4% |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 3.2% | — |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| HellaSwag | — | 76.7% |
| WinoGrande | — | 70.8% |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Math | 69.3% | 15.7% |
| LMArena Math | 1412 | 1111 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| MATH Level 5 | 78.6% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1394 | 1045 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Phi 3 Mini 4k Instruct: —
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1413 | 1021 |
| LMArena Chinese | 1421 | 1021 |
| LMArena French | 1418 | 1076 |
| LMArena German | 1457 | 1044 |
| LMArena Japanese | 1416 | 935 |
| LMArena Korean | 1392 | 905 |
| LMArena Russian | 1419 | 1022 |
| LMArena Spanish | — | 1085 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Instruction Following | 72.3% | 39.1% |
| LMArena Instruction Following | 1404 | 1053 |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1406 | 1044 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GPT-4.5 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1417 | 1073 |
| LMArena Creative Writing | 1394 | 1037 |
| LMArena Multi-Turn | 1444 | 1018 |
| LiveBench Language | 61.5% | 9.2% |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
Frequently asked questions
Is GPT-4.5 better than Phi 3 Mini 4k Instruct?
GPT-4.5 is the stronger model overall, scoring 37.2 to 27.9 on the Noometry Index.
Is GPT-4.5 or Phi 3 Mini 4k Instruct better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 26.6 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Phi 3 Mini 4k Instruct share?
23 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.