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$ diff astra longcat-2-0

Astra vs LongCat-2.0

Values come from Astra 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
Astra takes 1.1M against 1M — modestly more room in a single request.
Input price
LongCat-2.0 at $0.3/M against $10/M — 33.3× 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
LongCat-2.0 at $1.2/M against $50/M — 41.7× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
LongCat-2.0 publishes weights (MIT (commercially permissive)); Astra is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Astra shipped 65 days after LongCat-2.0 (2026-09-03 vs 2026-06-30).

Full spec

AttributeAstraLongCat-2.0
DeveloperOpenAIMeituan
Released2026-09-032026-06-30
Context window1,050,000 tokens (128,000 max output)1 million tokens (LongCat Sparse Attention / LSA)
Pricing$10/M input · $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.
LicenseproprietaryMIT (commercially permissive)
AvailabilityChatGPT Plus, Pro, Business, Enterprise · OpenAI API · AWS — staged, see belowOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

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