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$ diff qwen-3-8 longcat-2-0

Qwen 3.8 Max vs LongCat-2.0

Values come from Qwen 3.8 Max 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
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 $2/M — 6.7× 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 $6/M — 5.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — Qwen 3.8 Max under Open-weight announced for the week of 2026-08-10; not yet shipped, LongCat-2.0 under MIT (commercially permissive). Check the licences rather than assuming they permit the same commercial use.
Recency
Qwen 3.8 Max shipped 34 days after LongCat-2.0 (2026-08-03 vs 2026-06-30).

Full spec

AttributeQwen 3.8 MaxLongCat-2.0
DeveloperAlibaba QwenMeituan
Released2026-08-032026-06-30
Context window1 million tokens1 million tokens (LongCat Sparse Attention / LSA)
Pricing$2 / M input · $6 / 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.
LicenseOpen-weight announced for the week of 2026-08-10; not yet shippedMIT (commercially permissive)
AvailabilityAlibaba Cloud Model Studio (global), QwenWorkOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

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