Model comparison
o3 vs phi-3-medium 14B
o3 is the stronger model overall, scoring 47.5 to 29.7 on the Noometry Index.
Last verified . 3 shared benchmarks.
MicrosoftSummary
- They share 3 benchmarks with published results for both. o3 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 o3 leads 54.6 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 97.8% for o3 and 17.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| o3 | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 47.5 | 29.7 |
| Released | 2025-04-16 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 63 | 13 |
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Category by category
Coding o3 leads
o3: 46.8 (#64), phi-3-medium 14B: 36.8 (#201)
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1408 | — |
| BigCodeBench Complete | — | 48.7% |
| CadEval | 74% | — |
| ALE-Bench | 933.55 | — |
Agentic & Tool Use Not comparable
o3: 34.5 (#44), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning Not comparable
o3: 32.0 (#78), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 146.86 | 121.23 |
| ARC-AGI-2 | 6.5% | — |
| SimpleBench | 53.1% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 60.8% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | 13.1% | — |
| LMArena Hard Prompts | 1402 | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 84.8% | — |
| LMCA | 39.7% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 62.5 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math o3 leads
o3: 50.2 (#58), phi-3-medium 14B: 27.3 (#250)
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 97.8% | 17.6% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| Omni-MATH | 71.4% | — |
| LMArena Math | 1426 | — |
| FrontierMath (Feb 2025 set) | 18.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge o3 leads
o3: 54.6 (#52), phi-3-medium 14B: 9.1 (#306)
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 81.8% | 27.6% |
| Humanity's Last Exam | 20.3% | — |
| SimpleQA Verified | 49.4% | — |
| MMLU-Pro | 85.9% | — |
| Confabulations | 14.4% | — |
| GPQA (HELM) | 75.3% | — |
| LMArena Expert | 1402 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
o3: 41.4 (#36), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual Not comparable
o3: 51.7 (#105), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1401 | — |
| LMArena Chinese | 1437 | — |
| LMArena French | 1430 | — |
| LMArena German | 1420 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1370 | — |
| LMArena Russian | 1406 | — |
| LMArena Spanish | 1395 | — |
Instruction Following Not comparable
o3: 72.8 (#127), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| IFEval | 86.9% | — |
| LMArena Instruction Following | 1368 | — |
Long Context Not comparable
o3: 53.3 (#6), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
| LMArena Longer Query | 1372 | — |
Writing & Preference Not comparable
o3: 63.5 (#64), phi-3-medium 14B: —
| Benchmark | o3 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1410 | — |
| LMArena Creative Writing | 1359 | — |
| Short-Story Creative Writing | 83.9% | — |
| EQ-Bench Creative Writing | 1676 | — |
| WildBench | 86.1% | — |
| LMArena Multi-Turn | 1405 | — |
Frequently asked questions
Is o3 better than phi-3-medium 14B?
o3 is the stronger model overall, scoring 47.5 to 29.7 on the Noometry Index.
Is o3 or phi-3-medium 14B better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 36.8 in the Noometry coding category.
How many benchmarks do o3 and phi-3-medium 14B share?
3 benchmarks have published results for both models. o3 has 63 scored results on Noometry and phi-3-medium 14B has 13.