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$ diff gemini-3-7-flash longcat-2-0

Gemini 3.7 Flash vs LongCat-2.0

Values come from Gemini 3.7 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
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 $0.75/M — 2.5× 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 $3.75/M — 3.1× 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)); Gemini 3.7 Flash is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Gemini 3.7 Flash shipped 44 days after LongCat-2.0 (2026-08-13 vs 2026-06-30).

Full spec

AttributeGemini 3.7 FlashLongCat-2.0
DeveloperGoogle DeepMindMeituan
Released2026-08-132026-06-30
Context window1,000,000 tokens (64,000 max output)1 million tokens (LongCat Sparse Attention / LSA)
Pricing$0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01$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)
AvailabilityGemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, Spark in the Gemini app (AI Pro and Ultra)Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

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