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With DeepSeek-V3.2, enter tokens with cache hits price $0.028/1M, cache misses $0.28/1M, and output tokens $0.42/1M. Excessive demand may cause rate limiting or slow responses on the free tier. Content Material filters could prohibit some responses that different fashions reply freely. Best cost-per-intelligence ratio out there. Cache hits save up to 90% on input costs.
DeepSeek-R1-Zero was trained solely using GRPO RL with out SFT. The assistant first thinks concerning the reasoning course of within the thoughts and then offers the consumer with the reply. The person asks a question, and the Assistant solves it. DeepSeek-R1-Lite-Previewnote 4 was educated for logical inference, mathematical reasoning, and real-time problem-solving. The cost has been discussed and known as deceptive, as a outcome of it covers solely parts of the true value.
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