DeepSeek-V4-Flash-Max vs Muse Spark 1.2: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-Max | Muse Spark 1.2 |
|---|---|---|
| Company | DeepSeek | Meta |
| Release Date | April 23, 2026 | August 5, 2026 |
| Parameters | 284B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 131K |
| Input Price / 1M | $0.14 | $0.10 |
| Output Price / 1M | $0.28 | $0.20 |
| Average Score | 0.9 | 0.7 |
Verdict
Muse Spark 1.2 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-Max — 0.9, Muse Spark 1.2 — 0.7.
API Cost
Muse Spark 1.2 is 1.4x cheaper: input $0.10/1M vs $0.14/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
Muse Spark 1.2 is newer: released 8/5/2026 vs 4/23/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-Max or Muse Spark 1.2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-Max or Muse Spark 1.2?
Muse Spark 1.2 is cheaper for input: $0.10 per 1M tokens vs $0.14.
Which has a larger context window — DeepSeek-V4-Flash-Max or Muse Spark 1.2?
DeepSeek-V4-Flash-Max supports a larger context: 1,000,000 tokens vs 1,000,000.
The DeepSeek-V4-Flash-Max and Muse Spark 1.2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-Max or Muse Spark 1.2 page. See also the complete list of AI model comparisons.