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$ diff kimi-k3-1-pro glm-5-3-flash

Kimi K3.1 Pro vs GLM-5.3-Flash

Values come from Kimi K3.1 Pro and GLM-5.3-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
Identical — both accept 1.0M tokens, so context length is not a reason to pick either.
Input price
GLM-5.3-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
GLM-5.3-Flash at $0.5/M against $10/M — 20.0× 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 58 days after GLM-5.3-Flash (2026-10-23 vs 2026-08-26).

Full spec

AttributeKimi K3.1 ProGLM-5.3-Flash
DeveloperMoonshot AIZ.ai
Released2026-10-232026-08-26
Context window1,048,576 tokens ([source](../../sources/blogs/moonshot-2026-10-24-k3-pricing.md))1,048,576 (1M)
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 · $0.03/M cached input · $0.50/M output
Licensenot recordedMIT
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))Hugging Face (open weights), Z.ai API

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