Deepseek v3.2 Speciale
Chat CompletionsDeepSeek-V3.2-Speciale is a high-compute version of DeepSeek-V3.2, designed for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context handling and uses scaled reinforcement learning post-training to surpass the base model. Evaluations show that Speciale outperforms GPT-5 on complex reasoning tasks and matches Gemini-3.0-Pro in proficiency, while maintaining strong coding and tool-use reliability. Like V3.2, it uses a large-scale agentic task synthesis pipeline to enhance compliance and generalization in interactive environments.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.14
Cached Input Tokens (1M)
$0.01
Output Tokens (1M)
$0.21
Capabilities
Input Modalities
Output Modalities
Supported Parameters
Available parameters for API requests
Usage Analytics
Token usage of this model on our platform
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="deepseek-v3.2-speciale",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)