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$ diff glm-5-3-flash longcat-2-0

GLM-5.3-Flash vs LongCat-2.0

Values come from GLM-5.3-Flash and LongCat-2.0, 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 $0.3/M — 2.0× 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 $1.2/M — 2.4× 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, LongCat-2.0 under MIT (commercially permissive). Check the licences rather than assuming they permit the same commercial use.
Recency
GLM-5.3-Flash shipped 57 days after LongCat-2.0 (2026-08-26 vs 2026-06-30).

Full spec

AttributeGLM-5.3-FlashLongCat-2.0
DeveloperZ.aiMeituan
Released2026-08-262026-06-30
Context window1,048,576 (1M)1 million tokens (LongCat Sparse Attention / LSA)
Pricing$0.15/M input · $0.03/M cached input · $0.50/M output$0.30/M input · $1.20/M output ($0.006/M cached input) — OpenRouter catalogue, read 2026-07-28. Open weights, so this is hosted-inference pricing rather than a licence fee.
LicenseMITMIT (commercially permissive)
AvailabilityHugging Face (open weights), Z.ai APIOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

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