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$ diff gpt-image-2-5-flare longcat-2-0

GPT-Image-2.5 Flare vs LongCat-2.0

Values come from GPT-Image-2.5 Flare 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

Input price
LongCat-2.0 at $0.3/M against $30/M — 100.0× 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/M — 1.7× 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)); GPT-Image-2.5 Flare is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-Image-2.5 Flare shipped 70 days after LongCat-2.0 (2026-09-08 vs 2026-06-30).

Full spec

AttributeGPT-Image-2.5 FlareLongCat-2.0
DeveloperOpenAIMeituan
Released2026-09-082026-06-30
Context windownot recorded1 million tokens (LongCat Sparse Attention / LSA)
Pricingimage input $8.00/M tokens ($2.00/M cached) · image output $30.00/M tokens · text input $5.00/M tokens ($1.25/M cached)$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)
AvailabilityOpenAI APIOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

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