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 is a 552B-parameter Mixture-of-Experts model with native visual understanding, which DeepSeek calls the smallest model in its new architecture family. It is served on the DeepSeek API under the model name deepseek-flash, with open weights under the MIT License.
Model B — Meta
Muse Spark 1.3 is the latest version of Meta's Muse Spark model, released on September 2, 2026 and tuned for agentic workflows and coding. It takes text, image, video, audio and PDF input and returns text, with reasoning effort up to 'max'. Meta says audio input is not yet fully supported.
| Property | DeepSeek-V4.1-Flash | Muse Spark 1.3 |
|---|---|---|
| Released | Sep 10, 2026 | Sep 2, 2026 |
| Developer | DeepSeek | Meta |
| Type | multimodal | multimodal |
| License | open-weight | proprietary |
| Context window | 1,000,000 | 1,048,576 |
| Parameters | 552B total (MoE); 8B active parameters for input (prefill), 16B for output (decode) | — |
| Developer status | — | — |
| Input $/M tokens | $0.30 | $1.25 |
| Output $/M tokens | $1.20 | $4.25 |
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&b=muse-spark-1-3. CORS is open. Citation guidance: /about/editorial-process.