Back to comparator
deepseek

DeepSeek: DeepSeek V3.2 Exp

deepseek/deepseek-v3.2-exp

For $1, you can send approximately:
~210messages

How do we get this number?

One message = ~7,000 input tokens + ~7,000 output tokens
Input cost per message7,000 x $0.27/M = $0.001890
Output cost per message7,000 x $0.41/M = $0.002870
Total cost per message$0.004760
Messages for $1210.08
Context window
164k
tokens
Max response
66k
tokens
Input price
$0.27
per million tokens
Output price
$0.41
per million tokens

Modalities

Input:textOutput:text

Description

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...