DeepSeek V3.2
New$0.57
$1.71
2025-12-01
- Positioning
- Balanced, as the vendor describes it. The vendor has a newer generation.Source
- Price
- Level 2 of 4 among text models ($ is the cheapest), by output price per 1M tokens: $1 to under $5.
- Vendor-stated speed
- Not shown: the vendor doesn't compare this model's speed.
Three separate signals, not a quality score.
DeepSeek V3.2 is a DeepSeek text model on ATP Token, billed per 1M input and output tokens, with a lower cached-input rate.
Pricing
DeepSeek · Family · USD / 1M tokens
| Model | Input | Output |
|---|---|---|
| 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
| Workload | USD / 1,000 |
|---|---|
| Short chat turn800 / 400 | $1.14 |
| RAG answer4,000 / 500 | $3.14 |
| Agent step with tools20,000 / 1,500 | $13.96 |
Benchmarks
- 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
| Benchmark | Score | Source |
|---|---|---|
| SWE Verified (Resolved)DeepSeek-V3.2 Thinking; internal framework (vendor reports 72–74 across Claude Code/RooCode/non-thinking); 128K context, temperature 1.0 | 73.1% | DeepSeek |
| Terminal Bench 2.0 (Acc)DeepSeek-V3.2 Thinking; Claude Code framework (39.3 with Terminus in non-thinking mode) | 46.4% | DeepSeek |
| AIME 2025DeepSeek-V3.2 Thinking; Pass@1; ~16k output tokens | 93.1% | DeepSeek |
| GPQA DiamondDeepSeek-V3.2 Thinking; Pass@1; ~7k output tokens | 82.4% | 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
- Input$5.70
- Output$3.42
$9.12 USD / month · 912 credits / month
Quickstart
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
- Qwen 3.6 PlusQwen (Alibaba)Positioning: Balanced. Price level 2 of 4 among text models.$0.276 / $1.651In / out · per 1M tokens
- GLM-5Z.aiPositioning: Balanced. Price level 2 of 4 among text models.$1.00 / $3.20In / out · per 1M tokens
- Kimi K2.6Moonshot (Kimi)Positioning: Balanced. Price level 2 of 4 among text models.$0.95 / $4.00In / out · per 1M tokens
FAQ
- 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.
Start with $5. Credits never expire.
Create a project key, turn this model on, and pay only for what you use.