ai-trend-notifierKO

$ diff gpt-5-6-sol longcat-2-0

GPT-5.6 Sol vs LongCat-2.0

Values come from GPT-5.6 Sol 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
GPT-5.6 Sol takes 1.1M against 1M — modestly more room in a single request.
Input price
LongCat-2.0 at $0.3/M against $5/M — 16.7× 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 $30/M — 25.0× 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-5.6 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
GPT-5.6 Sol shipped 9 days after LongCat-2.0 (2026-07-09 vs 2026-06-30).

Full spec

AttributeGPT-5.6 SolLongCat-2.0
DeveloperOpenAIMeituan
Released2026-07-092026-06-30
Context window1.05M tokens1 million tokens (LongCat Sparse Attention / LSA)
Pricing$5/M input · $30/M output (Sol; family tiers below)$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.
Licenseproprietary (API-only; no weight release)MIT (commercially permissive)
AvailabilityChatGPT (subscription), APIOpen-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

← all comparisons