AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — DeepSeek
DeepSeek-V3 is an open-weight mixture-of-experts language model from DeepSeek, announced on December 26, 2024, with 671B total and 37B activated parameters, trained on 14.8T tokens.
Model B — Microsoft Research
Phi-4 is a 14B-parameter open-weight language model from Microsoft Research, released on December 12, 2024 under the MIT licence. It takes text input and is intended mainly for English.
| Property | DeepSeek-V3 | Phi-4 |
|---|---|---|
| Released | Dec 26, 2024 | Dec 12, 2024 |
| Developer | DeepSeek | Microsoft Research |
| Type | llm | llm |
| License | open-weight | open-weight |
| Context window | 128,000 | 16,000 |
| Parameters | 671B total, 37B active (mixture of experts) | 14B |
| Developer status | Retired | — |
| Input $/M tokens | — | — |
| Output $/M tokens | — | — |
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). Prices are the ones each developer lists today; a model it no longer prices has none.
No exclusive capabilities
No exclusive capabilities
Programmatic access available at /api/ai/compare?a=deepseek-v3&b=phi-4. CORS is open. Citation guidance: /about/editorial-process.