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-V4.1-Flash-1017 is an update to DeepSeek-V4.1-Flash, released on October 17, 2026, that DeepSeek says scores higher on its benchmarks, finishes tasks faster and writes shorter outputs. It takes text and image input and is served on the DeepSeek API as deepseek-flash, with open weights under the MIT License.
Model B — Meta
Muse Ember is Meta's smallest and most efficient model, released on November 9, 2026 on the Meta Model API and in Muse Code (model ID muse-ember-1.0), for high-volume agent work such as tool calls, coding subtasks, routing and extraction. It takes text, image, video, audio and PDF input and returns text.
| Property | DeepSeek-V4.1-Flash-1017 | Muse Ember |
|---|---|---|
| Released | Oct 17, 2026 | Nov 9, 2026 |
| Developer | DeepSeek | Meta |
| Type | multimodal | multimodal |
| License | open-weight | proprietary |
| Context window | 1,000,000 | 1,048,576 |
| Parameters | — | — |
| Developer status | — | — |
| Input $/M tokens | $0.30 | $0.10 |
| Output $/M tokens | $1.20 | $0.50 |
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
Programmatic access available at /api/ai/compare?a=deepseek-v4-1-flash-1017&b=muse-ember. CORS is open. Citation guidance: /about/editorial-process.