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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 2026-05-10 · Source: deepseek_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
deepseek-chat is a Text model from DeepSeek (CN). HotON.ai tracks it at $0.32 per 1M input tokens and $0.89 per 1M output tokens, with a 164K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
deepseek-chat is tracked at $0.32 per 1M input tokens and $0.89 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.75 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.
deepseek-chat supports up to a 164K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, deepseek-chat is cheaper than 50% of models on input price and ranks #209 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 — deepseek-chat (DeepSeek): $0.32/1M input, $0.89/1M output, as of 2026-05-10. https://hoton.ai/en/models/deepseek-deepseek-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.