Models · Compare
GPT-4.5 vs Phi-4-mini Instruct
Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.
Specs
| Field | A: GPT-4.5 | B: Phi-4-mini Instruct |
|---|---|---|
| Released | 2025-02-27 | — |
| Developer | OpenAI | Microsoft |
| Openness | Proprietary | Open |
| License | Proprietary | MIT |
| OSI-approved | no | yes |
| Data released | no | no |
| Training code | no | no |
| Architecture | unknown | dense |
| Total params | — | — |
| Active params | — | — |
| Experts | — | — |
| Context window | 128K | 128K |
| Attention | unknown | gqa |
| Position enc. | unknown | rope |
| Pretraining tokens | — | — |
| Post-training | rlhf | sft, dpo |
| Training hardware | — | A100 |
| $/M input | $0.00 | — |
| $/M output | $0.00 | — |
| Output tok/sec | 0 | — |
Benchmarks
Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.
General reasoning
| MMLU | — | 67.3 2025-02-26 |
Math
| MATH | — | 64.0 2025-02-26 |
Context · A
Released February 27, 2025 as a research preview of OpenAI's largest pretrained chat model, internally referred to as Orion. Sam Altman characterized it as a giant, expensive model; pricing came in at $75 input and $150 output per million tokens, roughly 30x GPT-4o's input rate at launch.
Context · B
Small-tier Phi 4 released February 2025: 3.8B dense decoder-only with 128K context, 200K vocab, and grouped-query attention. Trained on 5T tokens for 21 days on 512 A100-80G GPUs, with a data cutoff of June 2024. Supports 22 languages.