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

GLM-5.3-Flash vs Kimi K3

Values come from GLM-5.3-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

Context window
GLM-5.3-Flash takes 1.0M against 1M — modestly more room in a single request.
Input price
GLM-5.3-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
GLM-5.3-Flash at $0.5/M against $15/M — 30.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — GLM-5.3-Flash under MIT, Kimi K3 under Modified MIT (commercial use permitted; weights publicly downloadable). Check the licences rather than assuming they permit the same commercial use.
Recency
GLM-5.3-Flash shipped 41 days after Kimi K3 (2026-08-26 vs 2026-07-16).

Full spec

AttributeGLM-5.3-FlashKimi K3
DeveloperZ.aiMoonshot AI
Released2026-08-262026-07-16
Context window1,048,576 (1M)1M tokens
Pricing$0.15/M input · $0.03/M cached input · $0.50/M output$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output
LicenseMITModified MIT (commercial use permitted; weights publicly downloadable)
AvailabilityHugging Face (open weights), Z.ai APIKimi 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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