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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 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizin...
deepseek-v3.1-terminus is a Text model from DeepSeek (CN). HotON.ai tracks it at $0.21 per 1M input tokens and $0.79 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-v3.1-terminus is tracked at $0.21 per 1M input tokens and $0.79 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.
deepseek-v3.1-terminus 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-v3.1-terminus is cheaper than 62% of models on input price and ranks #263 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-v3.1-terminus (DeepSeek): $0.21/1M input, $0.79/1M output, as of 2026-04-28. https://hoton.ai/en/models/deepseek-deepseek-v3-1-terminusPricing 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.