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$ diff deepseek-v4-flash muse-spark

DeepSeek V4-Flash vs Muse Spark

Values come from DeepSeek V4-Flash and Muse Spark, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Input price
DeepSeek V4-Flash at $0.14/M against $1.25/M — 8.9× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
DeepSeek V4-Flash at $0.28/M against $4.25/M — 15.2× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — DeepSeek V4-Flash under MIT (open-weight), Muse Spark under proprietary (closed / API-only, not open-weights). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Flash shipped 114 days after Muse Spark (2026-07-31 vs 2026-04-08).

Full spec

AttributeDeepSeek V4-FlashMuse Spark
DeveloperDeepSeekMeta AI
Released2026-07-312026-04-08
Context windownot recorded1,000,000 tokens (1.1)
Pricing$0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports$1.25/M input · $4.25/M output (Meta Model API, public preview)
LicenseMIT (open-weight)proprietary (closed / API-only, not open-weights)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`)Meta Model API (public preview, US-based developers only)

How these pages are produced

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