deepseek

DeepSeek: DeepSeek V3.2

DeepSeek V3.2 is a deep-learning model from DeepSeek with a substantial context length of 163,840 tokens and supports both reasoning and tools integration. It handles text inputs efficiently but does not offer structured output capabilities. At a cost of $0.269 per million input tokens and $0.4 per million output tokens, it might be more expensive than some alternatives; however, with no independent benchmark coverage yet, its performance relative to other models remains unverified. This model could be a strong contender for organizations that require robust reasoning and tool integration capabilities within their budget constraints.

Quality Score
95/100
price + capability + benchmarks
Input Price
$0.27
per 1M tokens
Output Price
$0.40
per 1M tokens
Context Window
163,840
tokens
Model ID
deepseek/deepseek-v3.2
Vendor
deepseek
Released
December 2025
Tokenizer
DeepSeek
Input Modalities
text
Output Modalities
text
Max Output
65,536 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.27/M input and $0.40/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.15
A month of a busy support chatbot 5M in / 2M out $2.15

Similar models

Quick answers

How much does DeepSeek: DeepSeek V3.2 cost?
$0.27 per million input tokens and $0.40 per million output tokens.
What is DeepSeek: DeepSeek V3.2's context window?
163,840 tokens, roughly 245 pages of text in a single request.
Does DeepSeek: DeepSeek V3.2 support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can DeepSeek: DeepSeek V3.2 process images?
No, it is text-only on the input side.