Model comparison
o3 vs Phi-4 Mini
o3 is the stronger model overall, scoring 47.4 to 30.4 on the Noometry Index. Phi-4 Mini costs 27× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
MicrosoftSummary
- They share 1 benchmark with published results for both. o3 scores higher in 3 categories and Phi-4 Mini in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.5 to 24.8.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $2 / $8 for o3.
- o3 accepts more context: 200K tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| o3 | Phi-4 Mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 47.4 | 30.4 |
| Released | 2025-04-16 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 100K | 4K |
| Input $ / M tokens | $2 | $0.075 |
| Output $ / M tokens | $8 | $0.30 |
| Results tracked | 63 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3 leads
o3: 47.3 (#57), Phi-4 Mini: 27.6 (#312)
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| SciCode | — | 10.8% |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| LMArena Coding | 1408 | — |
| CadEval | 74% | — |
| ALE-Bench | 933.55 | — |
Agentic & Tool Use Not comparable
o3: 34.3 (#42), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning o3 leads
o3: 32.1 (#66), Phi-4 Mini: 21.7 (#190)
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| CritPt | 1.4% | 0% |
| ARC-AGI-2 | 6.5% | — |
| SimpleBench | 53.1% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 60.8% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | 13.1% | — |
| LMArena Hard Prompts | 1402 | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 84.8% | — |
| LMCA | 39.7% | — |
| Epoch Capabilities Index | 146.88 | — |
| ForecastBench | 62.5 | — |
Math Not comparable
o3: 48.9 (#49), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| Omni-MATH | 71.4% | — |
| LMArena Math | 1426 | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 18.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge o3 leads
o3: 54.5 (#47), Phi-4 Mini: 24.8 (#261)
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 81.8% | — |
| Humanity's Last Exam | 20.3% | — |
| SimpleQA Verified | 49.4% | — |
| MMLU-Pro | 85.9% | — |
| Confabulations | 14.4% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 75.3% | — |
| LMArena Expert | 1403 | — |
Multimodal Not comparable
o3: 40.7 (#35), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual Not comparable
o3: 51.9 (#99), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1402 | — |
| LMArena Chinese | 1438 | — |
| LMArena French | 1430 | — |
| LMArena German | 1420 | — |
| LMArena Japanese | 1404 | — |
| LMArena Korean | 1371 | — |
| LMArena Russian | 1407 | — |
| LMArena Spanish | 1395 | — |
Instruction Following Not comparable
o3: 73.0 (#122), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| IFEval | 86.9% | — |
| LMArena Instruction Following | 1368 | — |
Long Context Not comparable
o3: 53.2 (#6), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
| LMArena Longer Query | 1372 | — |
Writing & Preference Not comparable
o3: 63.7 (#62), Phi-4 Mini: —
| Benchmark | o3 | Phi-4 Mini |
|---|---|---|
| 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-4 Mini?
o3 is the stronger model overall, scoring 47.4 to 30.4 on the Noometry Index. Phi-4 Mini costs 27× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Which is cheaper, o3 or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; o3 lists at $2 and $8.
Is o3 or Phi-4 Mini better for coding?
o3 scores higher on coding benchmarks: 47.3 versus 27.6 in the Noometry coding category.
Which has the bigger context window?
o3 does, with 200K tokens against 128K.
How many benchmarks do o3 and Phi-4 Mini share?
1 benchmark has published results for both models. o3 has 63 scored results on Noometry and Phi-4 Mini has 3.