DeepSeek · DeepSeek line · flagship · open weights
DeepSeek's new open flagship: about 8 times more text in memory than V3.2, while using a fraction of the computing power — and it solves about 8 in 10 real-world coding tasks.
Compared with DeepSeek-V3.2 · the version it replaces
Holds about 8 times more text in memory at once
Context window — how much text the model can read at one time
1M tokens
▲ up from 128K · about 8× more
Uses far less computing power to run at full memory
Compute at 1M context — the processing work needed to run it
27% of V3.2
▲ vs V3.2 · same 1M context
Costs developers about 14 cents per million input tokens
Price per 1M tokens — what developers pay for the Flash version's input
$0.14 / M
✦ launch price — nothing earlier to compare
DeepSeek-V4-Pro-0813 is the current model in this line. The card shows how long it has been since the last release against the line's usual gap and its recent ones — the rhythm, not a date.
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