DeepSeek-V4-Flash-0423 vs Muse Spark 1.1: Specs & Benchmark Comparison

CharacteristicDeepSeek-V4-Flash-0423Muse Spark 1.1
CompanyDeepSeekMeta
Release DateApril 23, 2026July 9, 2026
Parameters284B
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)131K131K
Input Price / 1M$0.14$1.25
Output Price / 1M$0.28$4.25
Average Score0.90.8

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-0423 — 0.9, Muse Spark 1.1 — 0.8.

API Cost

DeepSeek-V4-Flash-0423 is 13.1x cheaper: input $0.14/1M vs $1.25/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Muse Spark 1.1 is newer: released 7/9/2026 vs 4/23/2026.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0423 or Muse Spark 1.1?
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-0423 or Muse Spark 1.1?
DeepSeek-V4-Flash-0423 is cheaper for input: $0.14 per 1M tokens vs $1.25.
Which has a larger context window — DeepSeek-V4-Flash-0423 or Muse Spark 1.1?
DeepSeek-V4-Flash-0423 supports a larger context: 1,000,000 tokens vs 1,000,000.

The DeepSeek-V4-Flash-0423 and Muse Spark 1.1 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-0423 or Muse Spark 1.1 page. See also the complete list of AI model comparisons.