DeepSeek R1 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 R1 and Muse Spark 1.1.
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
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 R1 | Muse Spark 1.1 |
|---|---|---|
| Provider | DeepSeek | Meta |
| Context Window | 163,840 tokens | 1,048,576 tokens |
| Agent Suitability | 78/100 | N/A |
| Time to First Token (TTFT) | 1800 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-01-20 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek R1
$0.70
Muse Spark 1.1
$1.25
Output Price per Million Tokens
DeepSeek R1
$2.50
Muse Spark 1.1
$4.25
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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 R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only
Muse Spark 1.1 Quirks & Gotchas
No developer gotchas reported.