DeepSeek V4 Pro
DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on knowledge, math, and software engineering benchmarks.
DeepSeek V4 Pro
DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on knowledge, math, and software engineering benchmarks.
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Non-think for fast responses, High for complex problem-solving, Max to push reasoning to its fullest extent.
Nucleus sampling. Considers only tokens whose cumulative probability exceeds this threshold.
Limits sampling to the K most likely tokens at each step. Set to 0 to disable.
Minimum probability threshold relative to the most likely token.
Penalizes tokens that have already appeared in the output, encouraging new topics.
Penalizes tokens based on how often they have already appeared.
Penalizes repeated tokens. Values above 1 discourage repetition.
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