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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: meituan_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
LongCat-Flash-Chat is a large-scale Mixture-of-Experts (MoE) model with 560B total parameters, of which 18.6B–31.3B (≈27B on average) are dynamically activated per input. It introduces a shortcut-connected MoE design...
longcat-flash-chat is a Text model from Meituan (CN). HotON.ai tracks it at $0.20 per 1M input tokens and $0.80 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
longcat-flash-chat is tracked at $0.20 per 1M input tokens and $0.80 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.65 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
longcat-flash-chat supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, longcat-flash-chat is cheaper than 62% of models on input price and ranks #280 of 535 by overall efficiency.
Yes — deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — longcat-flash-chat (Meituan): $0.20/1M input, $0.80/1M output, as of 2026-05-11. https://hoton.ai/en/models/meituan-longcat-flash-chatPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.