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Deepseek V3.2 Exp
deepseek/deepseek-v3.2-exp
DeepSeek-V3.2-Exp is an experimental model introducing the groundbreaking DeepSeek Sparse Attention (DSA) mechanism for enhanced long-context processing efficiency.
Built on V3.1-Terminus, DSA achieves fine-grained sparse attention while maintaining identical output quality. This delivers substantial computational efficiency improvements without compromising accuracy.
Comprehensive benchmarks confirm V3.2-Exp matches V3.1-Terminus performance, proving efficiency gains don't sacrifice capability. As both a powerful tool and research platform, it establishes new paradigms for efficient long-context AI processing.
Features
Serverless API
Docs
deepseek/deepseek-v3.2-exp is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
On-demand Deployments
Docs
On-demand deployments allow you to use deepseek/deepseek-v3.2-exp on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Available Serverless
Run queries immediately, pay only for usage
$0.27/$0.41
Per 1M Tokens (input/output)
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="deepseek/deepseek-v3.2-exp",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=65536,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
DeepSeek
Quantization
fp8
Supported Functionality
Context Length
163840
Max Output
65536
Structured Output
Supported
Function Calling
Supported
Reasoning
Supported
Input Capabilities
text
Output Capabilities
text