DeepSeek V3.2
ChatNot available
Reasoning-first model built for agents. Competes with GPT-5 level performance.
- Context
- 160Ktokens
- Max output
- 66Ktokens
- Latency
- ~14ms
- Released
- 2025-12
Pricing
$ / 1M tokensInput
$0.26/M
Output
$0.378/M
Cache Read
$0.13/M
Cache Write
$0.26/M
Capabilities
5 listed- Chat
- Tool Use
- Reasoning
- Coding
- Analysis
Code examples
POST /v1/chat/completionspython
from openai import OpenAI
client = OpenAI(
api_key="your_api_key",
base_url="https://api.modelstack.cc/v1",
)
response = client.chat.completions.create(
model="deepseek-v3.2",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Related models
Frequently asked questions
How is DeepSeek V3.2 billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for DeepSeek V3.2?expand_more
DeepSeek V3.2 has a 160K context window and supports up to 66K of output.
How can I call DeepSeek V3.2 through ModelStack?expand_more
Use the model ID `deepseek-v3.2` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does DeepSeek V3.2 support?expand_more
DeepSeek V3.2 supports: Chat, Tool Use, Reasoning, Coding, Analysis.