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

Kimi K3.1 Pro vs DeepSeek V4.1-Flash

Values come from Kimi K3.1 Pro and DeepSeek V4.1-Flash, 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

Context window
Kimi K3.1 Pro takes 1.0M against 1M — modestly more room in a single request.
Input price
DeepSeek V4.1-Flash at $0.15/M against $2/M — 13.3× 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 $10/M — 16.7× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Recency
Kimi K3.1 Pro shipped 43 days after DeepSeek V4.1-Flash (2026-10-23 vs 2026-09-10).

Full spec

AttributeKimi K3.1 ProDeepSeek V4.1-Flash
DeveloperMoonshot AIDeepSeek
Released2026-10-232026-09-10
Context window1,048,576 tokens ([source](../../sources/blogs/moonshot-2026-10-24-k3-pricing.md))1,000,000
Pricing$2.00/MTok input · $10.00/MTok output · $0.20/MTok cached input; cache writes $2.00/MTok (5m), $4.00/MTok (1h); excludes taxes ([source](../../sources/blogs/moonshot-2026-10-24-k3-pricing.md))$0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing
Licensenot recordedMIT (open-weight)
AvailabilityKimi.ai, mobile apps, Kimi Work, Kimi Code, Kimi API; enterprise access off by default at launch ([source](../../sources/blogs/moonshot-2026-10-23-kimi-k3-1-pro.md))DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)

How these pages are produced

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