Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Data sourced from the Interestana AI Index, kept current as developers update their models.
Model A — DeepSeek
DeepSeek R1 is an open-weight reasoning model trained primarily via reinforcement learning. It reproduced much of the performance of OpenAI’s o1 at a fraction of the inference price.
Model B — Microsoft Research
Phi-4 is Microsoft Research’s small-model masterpiece: 14 billion parameters yet competitive with much larger models on math and reasoning, trained largely on synthetic data.
| Property | DeepSeek R1 | Phi-4 |
|---|---|---|
| Released | Jan 20, 2025 | Dec 12, 2024 |
| Developer | DeepSeek | Microsoft Research |
| Type | reasoning | llm |
| License | open-weight | open-weight |
| Context window | 128,000 | 16,000 |
| Parameters | 685B MoE (37B active) | 14B |
| Input $/M tokens | $0.55 | — |
| Output $/M tokens | $2.19 | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins).
Programmatic access available at /api/ai/compare?a=deepseek-r1&b=phi-4. CORS is open. Citation guidance: /about/editorial-process.