Model comparison
GPT-4o mini vs Phi-3.5-mini
GPT-4o mini has enough public results to be ranked (#343); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 5 shared benchmarks.
MicrosoftSummary
- They share 5 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Phi-3.5-mini in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Phi-3.5-mini leads 34.6 to 22.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.4% for GPT-4o mini and 38.5% for Phi-3.5-mini.
- Phi-3.5-mini has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Phi-3.5-mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 25.5 | 36.9 |
| Released | 2024-07-18 | 2024-08-16 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 60 | 5 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Phi-3.5-mini leads
GPT-4o mini: 22.0 (#335), Phi-3.5-mini: 34.6 (#232)
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 32.8% |
| BigCodeBench Complete | 57.4% | 38.5% |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Not comparable
GPT-4o mini: 8.7 (#347), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| PIQA | 88.7% | 81% |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| 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% | — |
Math Not comparable
GPT-4o mini: 10.4 (#314), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| GSM8K | 91.3% | 86.2% |
| 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% | — |
Knowledge Not comparable
GPT-4o mini: 17.7 (#284), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| BoolQ | 88.7% | 78% |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Not comparable
GPT-4o mini: 42.0 (#199), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-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-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1258 | — |
Long Context Not comparable
GPT-4o mini: 39.1 (#186), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-mini |
|---|---|---|
| LMArena Longer Query | 1289 | — |
Writing & Preference Not comparable
GPT-4o mini: 39.5 (#248), Phi-3.5-mini: —
| Benchmark | GPT-4o mini | Phi-3.5-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-3.5-mini?
GPT-4o mini has enough public results to be ranked (#343); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is GPT-4o mini or Phi-3.5-mini better for coding?
Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 22.0 in the Noometry coding category.
How many benchmarks do GPT-4o mini and Phi-3.5-mini share?
5 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Phi-3.5-mini has 5.