ai-trend-notifierKO

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

LongCat-2.0 vs GLM-5.2

Values come from LongCat-2.0 and GLM-5.2, 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 1M tokens, so context length is not a reason to pick either.
Input price
LongCat-2.0 at $0.3/M against $0.73/M — 2.4× 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
LongCat-2.0 at $1.2/M against $2.3/M — 1.9× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — LongCat-2.0 under MIT (commercially permissive), GLM-5.2 under MIT (unrestricted, "no regional limits"). Check the licences rather than assuming they permit the same commercial use.
Recency
LongCat-2.0 shipped 17 days after GLM-5.2 (2026-06-30 vs 2026-06-13).

Full spec

AttributeLongCat-2.0GLM-5.2
DeveloperMeituanZ.ai
Released2026-06-302026-06-13
Context window1 million tokens (LongCat Sparse Attention / LSA)1,000,000 tokens
Pricing$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.$0.73/M input · $2.30/M output ($0.14/M cached input) — reseller pricing (OpenRouter catalogue, read 2026-07-28). Z.ai still publishes no list price of its own.
LicenseMIT (commercially permissive)MIT (unrestricted, "no regional limits")
AvailabilityOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"GLM Coding Plan (highest subscription tier), standalone API, open weights, NVIDIA NIM hosted

How these pages are produced

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