Fastest, most cost-effective model from DeepSeek Ai.
Code Example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv("ATLASCLOUD_API_KEY"),
base_url="https://api.atlascloud.ai/v1"
)
response = client.chat.completions.create(
model="deepseek-ai/deepseek-v3.2-speciale",
messages=[
{
"role": "user",
"content": "hello"
}
],
max_tokens=1024,
temperature=0.7
)
print(response.choices[0].message.content)Install
Install the required package for your language.
pip install requestsAuthentication
All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.
export ATLASCLOUD_API_KEY="your-api-key-here"HTTP Headers
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.
Submit a request
import requests
url = "https://api.atlascloud.ai/v1/chat/completions"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "your-model",
"messages": [{"role": "user", "content": "Hello"}],
"max_tokens": 1024
}
response = requests.post(url, headers=headers, json=data)
print(response.json())Input Schema
The following parameters are accepted in the request body.
Example Request Body
{
"model": "deepseek-ai/deepseek-v3.2-speciale",
"messages": [
{
"role": "user",
"content": "Hello"
}
],
"max_tokens": 1024,
"temperature": 0.7,
"stream": false
}Output Schema
The API returns a ChatCompletion-compatible response.
Example Response
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1700000000,
"model": "model-name",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I assist you today?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 10,
"completion_tokens": 20,
"total_tokens": 30
}
}Atlas Cloud Skills
Atlas Cloud Skills integrates 300+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.
Supported Clients
Install
npx skills add AtlasCloudAI/atlas-cloud-skillsSetup API Key
Get your API key from the Atlas Cloud dashboard and set it as an environment variable.
export ATLASCLOUD_API_KEY="your-api-key-here"Capabilities
Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.
MCP Server
Atlas Cloud MCP Server connects your IDE with 300+ AI models via the Model Context Protocol. Works with any MCP-compatible client.
Supported Clients
Install
npx -y atlascloud-mcpConfiguration
Add the following configuration to your IDE's MCP settings file.
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Available Tools
DeepSeek-V3.2
Open SourceOpen-Source Frontier Large Language Model
DeepSeek-V3.2 is a cutting-edge 685B parameter Mixture-of-Experts language model that achieves GPT-5 level performance while maintaining cost-efficient inference through innovative DeepSeek Sparse Attention technology.
- 50-75% lower inference costs while maintaining performance
- Fine-grained sparse attention for efficient long-context processing
- 128K token context length support
- Novel lightning indexer component for dynamic attention routing
- Comparable performance to GPT-5 across multiple reasoning benchmarks
- Gold-medal performance in IMO 2025 and IOI 2025
- Advanced agentic capabilities with tool-use integration
- First model to integrate thinking directly into tool-use
Competition Gold Medals
DeepSeek-V3.2-Speciale achieved gold-medal level performance across prestigious international competitions, demonstrating world-class reasoning capabilities.
IMO 2025
International Mathematical Olympiad
IOI 2025
International Olympiad in Informatics
AIME
American Invitational Mathematics Examination
Technical Architecture Highlights
Mixture-of-Experts Architecture
Advanced MoE design with efficient expert routing, featuring 1 shared expert and 256 routed experts per layer for optimal performance-efficiency balance.
Sparse Attention Innovation
Revolutionary DeepSeek Sparse Attention mechanism enables efficient long-context processing with fine-grained attention patterns.
Advanced Training Pipeline
Pioneered FP8 mixed precision training at scale with sophisticated post-training including supervised fine-tuning and reinforcement learning.
Application Scenarios
Technical Specifications
Model Variant Comparison
The DeepSeek-V3.2 family offers two variants optimized for different use cases, balancing speed and reasoning depth.
DeepSeek-V3.2
DeepSeek AI
- GPT-5 level performance across benchmarks
- Optimized inference speed with DSA
- Full tool-use and agentic capabilities
- Cost-efficient for large-scale deployment
DeepSeek-V3.2-Speciale
DeepSeek AI
- Surpasses GPT-5, matches Gemini-3.0-Pro
- Gold-medal performance in IMO & IOI
- Relaxed length constraints for complex reasoning
- Optimized for research and challenging problems
Key Insight: Choose DeepSeek-V3.2 for production efficiency or V3.2-Speciale for maximum reasoning capability. Both models represent the frontier of open-source AI.
Why Choose Atlas Cloud for DeepSeek-V3.2?
Experience enterprise-grade reliability, security, and cost-efficiency with our fully managed DeepSeek-V3.2 API service.
Competitive Pricing
Pay-as-you-go pricing with transparent costs. No hidden fees, no minimum commitments. Get started for free.
99.9% Uptime SLA
Enterprise-grade infrastructure with automatic failover, load balancing, and 24/7 monitoring for maximum reliability.
SOC 2 Type II Certified
Enterprise-grade security with SOC 2 Type II certification. Your data is encrypted in transit and at rest with industry-leading security standards.
Lightning-Fast Response
Global CDN with edge locations worldwide. Optimized inference infrastructure delivers sub-second response times.
Expert Support
Dedicated technical support team available 24/7. Get help with integration, optimization, and troubleshooting.
Unified API Platform
Access 300+ AI models (LLMs, image, video, audio) through one consistent API. Single integration for all your AI needs.
Experience DeepSeek-V3.2 on Atlas Cloud
Deploy world-class open-source AI with enterprise-grade infrastructure, transparent pricing, and seamless scaling.
