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$ diff kimi-k3-1-pro lfm2-5-24b-a2b

Kimi K3.1 Pro vs LFM2.5-24B-A2B

Values come from Kimi K3.1 Pro and LFM2.5-24B-A2B, 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 131K — 8× more room in a single request.
Input price
LFM2.5-24B-A2B at $0.1/M against $2/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
LFM2.5-24B-A2B at $1/M against $10/M — 10.0× 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 10 days after LFM2.5-24B-A2B (2026-10-23 vs 2026-10-13).

Full spec

AttributeKimi K3.1 ProLFM2.5-24B-A2B
DeveloperMoonshot AILiquid AI
Released2026-10-232026-10-13
Context window1,048,576 tokens ([source](../../sources/blogs/moonshot-2026-10-24-k3-pricing.md))131,072 tokens
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))$0.10/M input · $0.05/M cached input · $1.00/M output
Licensenot recordednot recorded
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))Downloadable base and post-trained weights; Liquid Playground and API

How these pages are produced

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