Model comparison
GPT-4o mini vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 25.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in reasoning, where Phi-4 Mini leads 22.4 to 8.7.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Phi-4 Mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 25.5 | 30.9 |
| Released | 2024-07-18 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 16K | 4K |
| Input $ / M tokens | $0.15 | $0.075 |
| Output $ / M tokens | $0.60 | $0.30 |
| Results tracked | 60 | 3 |
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Category by category
Coding Phi-4 Mini leads
GPT-4o mini: 22.0 (#335), Phi-4 Mini: 28.1 (#317)
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| Aider Polyglot | 3.6% | — |
| SciCode | — | 10.8% |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Phi-4 Mini leads
GPT-4o mini: 8.7 (#347), Phi-4 Mini: 22.4 (#195)
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| LMArena Hard Prompts | 1267 | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Not comparable
GPT-4o mini: 10.4 (#314), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| LMArena Math | 1267 | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Phi-4 Mini leads
GPT-4o mini: 17.7 (#284), Phi-4 Mini: 25.3 (#262)
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Not comparable
GPT-4o mini: 42.0 (#199), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1266 | — |
| LMArena Chinese | 1265 | — |
| LMArena French | 1297 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
| LMArena Russian | 1275 | — |
| LMArena Spanish | 1276 | — |
Instruction Following Not comparable
GPT-4o mini: 61.9 (#239), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1258 | — |
Long Context Not comparable
GPT-4o mini: 39.1 (#186), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1289 | — |
Writing & Preference Not comparable
GPT-4o mini: 39.5 (#248), Phi-4 Mini: —
| Benchmark | GPT-4o mini | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1286 | — |
| LMArena Creative Writing | 1268 | — |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LMArena Multi-Turn | 1285 | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 25.5 on the Noometry Index.
Which is cheaper, GPT-4o mini 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; GPT-4o mini lists at $0.15 and $0.60.
Is GPT-4o mini or Phi-4 Mini better for coding?
Phi-4 Mini scores higher on coding benchmarks: 28.1 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-4o mini and Phi-4 Mini share?
0 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Phi-4 Mini has 3.