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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 Reasoner represents the pinnacle of hybrid reasoning models, building upon the original V3.1 foundation with significant advancements. This powerful AI model offers enhanced language consistency, superior agent capabilities, and remarkable reasoning efficiency. Designed for versatility, it seamlessly operates in both Thinking Mode for complex, multi-step tasks and Non-Thinking Mode for rapid, interactive responses. From sophisticated coding and debugging to advanced search agent workflows, DeepSeek V3.1 empowers developers and enterprises with a stable and reliable AI solution for cutting-edge research and software development.
✨ Technical Specifications
Context Window and Token Capacity
DeepSeek V3.1 boasts an impressive extended input context window, supporting up to 128K tokens. Its refined tokenization is specifically engineered for multimodal inputs, adeptly combining text and high-resolution image features. This expanded capacity allows the model to process highly complex, multi-source documents and intricate conversations in a single pass. For outputs, the model dynamically scales up to 50,000 tokens, optimized for efficient real-time interactions, including rich narrative generation and detailed image captioning.
Context Window and Token Capacity
Performance Benchmarks
- 🚀 Speed & Latency: Thanks to improved sparse attention mechanisms and optimized memory management, DeepSeek V3.1 Reasoner achieves inference latencies approximately 30% lower than its predecessor, DeepSeek-V3.0, under equivalent hardware conditions.
- 🎯 Accuracy: The model demonstrates superior few-shot and zero-shot performance across critical benchmarks, excelling in visual question answering, document summarization, and legal reasoning tasks, validated by robust factual consistency metrics.
- 🌐 Multilingual Support: Expanding its linguistic prowess, DeepSeek V3.1 now supports over 90 languages, delivering high-fidelity translation and culturally nuanced context comprehension far beyond previous releases.
Performance Benchmarks
💰 API Pricing
• 1M input tokens: $0.294
• 1M output tokens: $0.441
⭐ Key Features
- ✅ Dual Operational Modes: Supports Thinking Mode for intricate, multi-step reasoning and Non-Thinking Mode for rapid, low-latency responses, optimizing performance across diverse applications.
- 🛠️ Enhanced Agent Capabilities: Specifically designed for superior performance in code generation, debugging, and complex search tasks, streamlining developer workflows.
- 🔓 Open-Source & Flexible: Released under the MIT license, enabling widespread modification, integration, and commercial utilization, fostering innovation.
- ✍️ Improved Language Consistency: Achieves a higher degree of linguistic coherence, significantly reducing mixed-language errors and enhancing output quality.
- 🧠 Advanced Training Architecture: Features two-phase training for exceptional long-context understanding and robust tool integration, leading to more intelligent and adaptable AI.
💡 Use Cases
- 💻 Advanced Software Engineering: Provides comprehensive assistance with code generation, multimodal debugging, and deep codebase comprehension, further augmented by visual annotations for clearer insights.
- ⚖️ Large-Scale Contextual Document Analysis: Ideal for legal, finance, and healthcare compliance, offering integrated visual data support for charts, tables, and schematics to process complex documents.
- 🎨 Multimodal Creative Content Generation: Seamlessly blends text and imagery for innovative advertising campaigns, media production, and educational material creation.
- 📚 Research & Educational Support: Delivers adaptive multi-turn dialogue, detailed stepwise reasoning, and cross-reference visual aids for enhanced learning and research workflows.
Code Sample
<snippet data-name="open-ai.chat-completion" data-model="deepseek/deepseek-reasoner-v3.1-terminus"></snippet>
🔄 Comparison with Other Models
- 🆚 GPT-5: DeepSeek-V3.1 offers comparable multimodal fusion, emphasizing visual context manipulation and dynamic expert modularity. While GPT-5 pushes extended token context windows with emerging audio/video modalities, DeepSeek-V3.1 features deeper integration with complex image reasoning and domain adaptation tools.
- 🆚 DeepSeek V3: DeepSeek-V3.1 presents significant advancements including approximately 30% improvement in inference speed, an expanded context window, and enhanced multimodal alignment accuracy, particularly in low-resource languages and fine-grained visual scenario understanding.
- 🆚 Other Leading Models (e.g., OpenAI GPT-4.1): DeepSeek-V3.1 uniquely balances large-scale multimodal inputs with expert mixture training. This results in superior visual-textual coherence and faster adaptation capabilities when compared to models primarily optimized for code or text-centric architectures.
🔒 Security and Compliance
- 🛡️ Built-in privacy and robust data protection mechanisms ensure secure operations.
- ✅ Adheres to ethical AI alignment principles, focusing on bias minimization and real-time monitoring.
- ⚙️ Offers customizable content filtering policies, crucial for sensitive sectors like healthcare, finance, and legal.
❓ Frequently Asked Questions (FAQ)
Q1: What are the core improvements of DeepSeek V3.1 Reasoner over its predecessor?
A1: DeepSeek V3.1 Reasoner significantly enhances language consistency, agent capabilities (especially for coding and search), and reasoning efficiency. It also offers a 30% faster inference speed and an expanded context window compared to DeepSeek V3.
Q2: How does DeepSeek V3.1 handle complex reasoning tasks?
A2: It utilizes a unique Thinking Mode designed for multi-step reasoning, allowing it to tackle complex problems in coding, legal analysis, and research. This is complemented by a Non-Thinking Mode for faster, direct responses.
Q3: What is the maximum context window supported by DeepSeek V3.1 Reasoner?
A3: DeepSeek V3.1 supports an extended input context window of up to 128K tokens, enabling it to process large and complex multimodal documents and conversations.
Q4: Is DeepSeek V3.1 Reasoner open-source?
A4: Yes, DeepSeek V3.1 Reasoner is released under the MIT license, allowing for broad modification, integration, and commercial use.
Q5: What are the main use cases for this model?
A5: Key use cases include advanced software engineering assistance, large-scale contextual document analysis (e.g., legal, finance), multimodal creative content generation, and comprehensive research and educational support.
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