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Text Generation Model

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.

Publisher DeepSeek
Type Text
Context Window 1,000,000 tokens
Training Data April 2026
Input $1.74/MTok
Output $3.48/MTok
Provider DeepInfra
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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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Documentation & links

Parameters & options

Max Temperature 1
Max Response Size 384,000 tokens
Reasoning Effort Select

Non-think for fast responses, High for complex problem-solving, Max to push reasoning to its fullest extent.

Default: high
Non-thinkHighMax
Top P Number

Nucleus sampling. Considers only tokens whose cumulative probability exceeds this threshold.

Default: 0.95 Range: 0–1 (step 0.01)
Top K Number

Limits sampling to the K most likely tokens at each step. Set to 0 to disable.

Default: 20 Range: 0–100
Min P Number

Minimum probability threshold relative to the most likely token.

0 Range: 0–1 (step 0.01)
Presence Penalty Number

Penalizes tokens that have already appeared in the output, encouraging new topics.

0 Range: -2–2 (step 0.01)
Frequency Penalty Number

Penalizes tokens based on how often they have already appeared.

0 Range: -2–2 (step 0.01)
Repetition Penalty Number

Penalizes repeated tokens. Values above 1 discourage repetition.

Default: 1 Range: 0–2 (step 0.01)
Seed Seed
Range: -1–2147483647

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