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
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
deepseek-r1-0528 is a Reasoning model from DeepSeek (CN). HotON.ai tracks it at $0.45 per 1M input tokens and $2.15 per 1M output tokens, with a 66K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
deepseek-r1-0528 is tracked at $0.45 per 1M input tokens and $2.15 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.72 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
deepseek-r1-0528 supports up to a 66K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, deepseek-r1-0528 is cheaper than 45% of models on input price and ranks #393 of 521 by overall efficiency.
Yes — qwen-plus-2025-07-28:thinking is a lower-cost option at $0.78 per 1M output tokens, while still covering similar Reasoning use cases. Compare them side by side on HotON.ai.
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.