DeepSeek V3.2

New
DeepSeekAll DeepSeek models

Input

$0.57

USD / 1M tokens

Output

$1.71

USD / 1M tokens

Released

2025-12-01

Positioning: Balanced. Price level 2 of 4 among text models.

DeepSeek V3.2 is a DeepSeek text model on ATP Token, billed per 1M input and output tokens, with a lower cached-input rate.

Tools

Pricing

Pay for what you use: credits are deducted only when a request succeeds.
Prices in USD · $1 = 100 credits
Input
$0.570
Cache read
$0.114
Output
$1.710
USD / 1M tokens

DeepSeek · Family · USD / 1M tokens

Text models from the same vendor on ATP. Bars fill up to the family's highest price.
All DeepSeek models
ModelInputOutput
DeepSeek V4 Prodeepseek-v4-pro$2.40$4.80
DeepSeek V3.2 This pagedeepseek-v3-2$0.57$1.71
DeepSeek V4 Flashdeepseek-v4-flash$0.20$0.40

Cost per 1,000 typical requests

A quick estimate with fixed token counts per request. No caching, no retries. Try the estimator with your own numbers.
WorkloadUSD / 1,000
Short chat turn800 / 400$1.14
RAG answer4,000 / 500$3.14
Agent step with tools20,000 / 1,500$13.96

Benchmarks

Vendor-reported
  • SWE Verified (Resolved)73.1%

    DeepSeek-V3.2 Thinking; internal framework (vendor reports 72–74 across Claude Code/RooCode/non-thinking); 128K context, temperature 1.0

    DeepSeek
  • Terminal Bench 2.0 (Acc)46.4%

    DeepSeek-V3.2 Thinking; Claude Code framework (39.3 with Terminus in non-thinking mode)

    DeepSeek
  • AIME 202593.1%

    DeepSeek-V3.2 Thinking; Pass@1; ~16k output tokens

    DeepSeek
  • GPQA Diamond82.4%

    DeepSeek-V3.2 Thinking; Pass@1; ~7k output tokens

    DeepSeek

Scores as published by each vendor, not measured by ATP. Test conditions vary, so they are not directly comparable across vendors.

Same controls on every model: project keys, per-project model access, credit budgets, and a log of every request.Set up your organization

Cost estimator

Plug in your usage to see roughly what a month costs.
0200
0100
ESTIMATE
$9.12
USD / month
912 credits / month
  • Input$5.70
  • Output$3.42

$9.12 USD / month · 912 credits / month

An estimate at our USD prices (USD 1 = 100 credits). What each request actually cost shows up in your console's request log. Cached input is billed at the lower cache-read price, so you may spend less.

Quickstart

Keep your SDK. Point it at ATP and use a project key. Read the docs
quickstart.py · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  base_url="https://api.atptoken.ai/v1",
  api_key="atp-•••"
)

r = client.chat.completions.create(
  model="deepseek-v3-2",
  messages=[{"role":"user","content":"hi"}],
)

Compare with similar models

Same type and positioning, from other vendors, closest in price first.
Compare side by side

FAQ

4
Can DeepSeek V3.2 use tools, read images, or think before answering?
DeepSeek V3.2 supports tool calling, but not vision input, extended thinking or audio.
Is cached input cheaper on DeepSeek V3.2?
You pay per 1M input tokens and per 1M output tokens. Cached input costs 20% of the normal input price. You only pay when a request succeeds. $1 = 100 credits. See pricing
Is there a newer DeepSeek model than DeepSeek V3.2 on ATP?
Yes. DeepSeek V4 Pro (deepseek-v4-pro) and DeepSeek V4 Flash (deepseek-v4-flash) came out on Apr 24, 2026, after DeepSeek V3.2 (Dec 1, 2025), and are the newer DeepSeek text option on ATP. Both stay available: compare family prices on this page, then turn on the id you want for your project.
How do I call DeepSeek V3.2 on ATP?
Create a project API key and point any OpenAI-compatible SDK at https://api.atptoken.ai/v1. Set model to "deepseek-v3-2" (the API id, not the display name). Make sure the model is turned on for your project.
Get started

Start with $5. Credits never expire.

Create a project key, turn this model on, and pay only for what you use.