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 — Kyutai
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework from Kyutai, released on September 18, 2024. Kyutai describes it as the first real-time full-duplex spoken large language model, with a theoretical latency of 160 ms (200 ms in practice).
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 | Moshi | Phi-4 |
|---|---|---|
| Released | Sep 18, 2024 | Dec 12, 2024 |
| Developer | Kyutai | Microsoft Research |
| Type | audio | llm |
| License | open-weight | open-weight |
| Context window | — | 16,000 |
| Parameters | 7B (Temporal Transformer) | 14B |
| Developer status | — | — |
| 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 shared capabilities
Programmatic access available at /api/ai/compare?a=kyutai-moshi&b=phi-4. CORS is open. Citation guidance: /about/editorial-process.