DeepSeek V3.1 vs Muse Spark 1.1
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.1 and Muse Spark 1.1.
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Technical Specifications
| Specification | DeepSeek V3.1 | Muse Spark 1.1 |
|---|---|---|
| Provider | DeepSeek | Meta |
| Context Window | 163,840 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-21 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.1
$0.25
Muse Spark 1.1
$1.25
Output Price per Million Tokens
DeepSeek V3.1
$0.95
Muse Spark 1.1
$4.25
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
Muse Spark 1.1 Quirks & Gotchas
No developer gotchas reported.