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$ diff gemini-4-argon longcat-2-0

Gemini 4 Argon vs LongCat-2.0

Values come from Gemini 4 Argon 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
Gemini 4 Argon takes 2M against 1M — 2× more room in a single request.
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 $10/M — 8.3× 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 4 Argon is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Gemini 4 Argon shipped 92 days after LongCat-2.0 (2026-09-30 vs 2026-06-30).

Full spec

AttributeGemini 4 ArgonLongCat-2.0
DeveloperGoogle DeepMindMeituan
Released2026-09-302026-06-30
Context window2M tokens1 million tokens (LongCat Sparse Attention / LSA)
Pricing$2/M input · $10/M output · cached input $0.10/M (introductory; stated to double to $4/$20)$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)
AvailabilityFairwind Program (trusted cyber defenders) only; paid API and Google AI Ultra stated as next, no dateOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

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