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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'deepseek/deepseek-reasoner-v3.1-terminus',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="deepseek/deepseek-reasoner-v3.1-terminus",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
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Product Detail
✨ DeepSeek V3.1 Terminus: Advanced Hybrid Reasoning AI
The DeepSeek V3.1 Terminus represents a significant evolution in large-scale hybrid reasoning AI models, meticulously engineered for the most demanding chain-of-thought tasks. This update to the DeepSeek V3 series focuses on delivering unparalleled stability, streamlined agent/tool workflows, and robust multi-step reasoning capabilities. It's an ideal solution for complex applications like advanced coding, intuitive web navigation, and command-line automation, seamlessly blending powerful model capacity with flexible inference modes.
⚙️ Technical Specifications
- Model Type: Hybrid Mixture-of-Experts (MoE) large language model
- Total Parameters: 671 billion
- Active Parameters per Forward Pass: 37 billion
- Hybrid Reasoning Modes: Supports both "thinking" mode (complex internal reasoning, tool planning) and "non-thinking" mode (faster direct responses) within the same network.
- Context Window Size: Up to 128,000 tokens, facilitating extensive context processing and prolonged chain-of-thought reasoning.
- Agent Capabilities: Features specialized integrated agents including Code Agent, Search Agent, Browse Agent, and Terminal Agent.
📊 Performance Benchmarks
- MMLU-Pro Reasoning: Improved from 84.8 to 85.0 (Terminus)
- GPQA-Diamond: 80.7
- Humanity’s Last Exam: Significant jump from 15.9 to 21.7
- LiveCodeBench: Marginal gain to 74.9
- Codeforces Score: Slight variation around 2046
- Software Engineering Verification: Improved from 66.0 to 68.4
🌟 Key Features of DeepSeek V3.1 Terminus
- Large Context Window: Processes up to 128,000 tokens, enabling the understanding of extensive documents and intricate, multi-step reasoning.
- Enhanced Agent Integration: Offers optimized multi-step agent workflows with superior reliability in tool calling, including specialized agents for code generation, search, browsing, and terminal operations.
- Efficiency Improvements: Achieves a remarkable 20%–50% reduction in average token consumption during reasoning mode, all while maintaining or enhancing output quality.
- Improved Language Consistency: Significantly minimizes issues with random character insertions and unwanted language mixing, ensuring consistently smoother and more coherent outputs.
- Superior Coding Performance: Delivers advanced code generation capabilities, capable of creating complex applications and seamless interaction with game engines like Godot, without build errors.
💰 API Pricing
- 1 Million Input Tokens: $0.294
- 1 Million Output Tokens: $0.441
🎯 Primary Use Cases
- Complex multi-step reasoning tasks demanding logical chains.
- Automated coding and software development assistance.
- Command-line automation and advanced scripting.
- Web scraping and sophisticated data retrieval via browsing agents.
- Advanced Q&A requiring extensive context comprehension.
- Research synthesis and summarization of long documents.
💻 Code Sample
<snippet data-name="open-ai.chat-completion" data-model="deepseek/deepseek-reasoner-v3.1-terminus"></snippet>🔍 Comparison with Other Models
vs GPT-4: While GPT-4 is celebrated for its versatility and creative outputs, excelling in general reasoning and dialogue quality, DeepSeek Terminus distinguishes itself by excelling in agentic workflows and highly efficient multi-step tool invocation, often at lower token costs.
vs Claude 4.1: Claude 4.1 is renowned for its intuitive, creative multi-step reasoning and smooth chain-of-thought execution. DeepSeek Terminus offers a close match in complex agentic workflows, particularly where precise tool integration and explicit planning are paramount.
vs DeepSeek R1: Terminus delivers comparable reasoning quality but with the added benefits of faster response times and reduced output token consumption.
vs DeepSeek V3.1: Terminus significantly improves language stability, virtually eliminates character glitches, and enhances overall agent/tool coordination for a smoother user experience.
❓ Frequently Asked Questions (FAQ)
Q1: What is the primary focus of DeepSeek V3.1 Terminus?
A1: DeepSeek V3.1 Terminus is primarily focused on enhancing hybrid reasoning capabilities for complex chain-of-thought tasks, with improved stability, agent/tool workflows, and reliable multi-step reasoning across various applications.
Q2: How does its context window size benefit users?
A2: With a substantial context window of up to 128,000 tokens, Terminus can process incredibly long documents and maintain intricate reasoning chains, crucial for research, summarization, and deep analytical tasks.
Q3: What are the key efficiency gains in Terminus?
A3: It offers significant efficiency improvements, reducing average token consumption by 20%–50% in reasoning mode while upholding or even improving the quality of its outputs compared to previous versions.
Q4: Can DeepSeek V3.1 Terminus handle advanced coding tasks?
A4: Yes, it features superior coding performance, capable of generating complex applications and interacting smoothly with game engines like Godot, ensuring minimal build errors and robust functionality.
Q5: What distinguishes Terminus in agentic workflows?
A5: Terminus boasts enhanced agent integration, providing optimized multi-step agent workflows and improved reliability in tool calling, including specialized agents for coding, searching, browsing, and terminal operations.
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