$ diff deepseek-v4-1-flash kimi-k3

DeepSeek V4.1-Flash vs Kimi K3

Values come from DeepSeek V4.1-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.

DeepSeekDeepSeek V4.1-Flash

context: 1M
weights: open
$/M in: $0.15
$/M out: $0.6

Moonshot AIKimi K3

context: 1M
weights: open
$/M in: $3
$/M out: $15

What actually differs

Context window: Identical — both accept 1M tokens, so context length is not a reason to pick either.
Input price: DeepSeek V4.1-Flash at $0.15/M against $3/M — 20.0× 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 V4.1-Flash at $0.6/M against $15/M — 25.0× 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 V4.1-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 V4.1-Flash shipped 56 days after Kimi K3 (2026-09-10 vs 2026-07-16).

Full spec

Attribute	DeepSeek V4.1-Flash	Kimi K3
Developer	DeepSeek	Moonshot AI
Released	2026-09-10	2026-07-16
Context window	1,000,000	1M tokens
Pricing	$0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing	$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output
License	MIT (open-weight)	Modified MIT (commercial use permitted; weights publicly downloadable)
Availability	DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)	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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