DeepSeek V3 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 and Muse Spark 1.1.
DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
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 | Muse Spark 1.1 |
|---|---|---|
| Provider | DeepSeek | Meta |
| Context Window | 131,072 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 | 2024-12-26 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3
$0.20
Muse Spark 1.1
$1.25
Output Price per Million Tokens
DeepSeek V3
$0.80
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 V3 Quirks & Gotchas
No developer gotchas reported.
Muse Spark 1.1 Quirks & Gotchas
No developer gotchas reported.