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$ diff deepseek-v4-flash kimi-k3

DeepSeek V4-Flash vs Kimi K3

Values come from DeepSeek V4-Flash and Kimi K3, 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 $3/M — 21.4× 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 $15/M — 53.6× 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), Kimi K3 under Modified MIT (commercial use permitted; weights publicly downloadable). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Flash shipped 15 days after Kimi K3 (2026-07-31 vs 2026-07-16).

Full spec

AttributeDeepSeek V4-FlashKimi K3
DeveloperDeepSeekMoonshot AI
Released2026-07-312026-07-16
Context windownot recorded1M tokens
Pricing$0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output
LicenseMIT (open-weight)Modified MIT (commercial use permitted; weights publicly downloadable)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`)Kimi Code, Kimi app, Kimi API; weights on Hugging Face (`moonshot-ai/kimi-k3`, released 2026-07-27)

How these pages are produced

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