DeepSeek V3.1

About DeepSeek V3.1

DeepSeek V3 is a groundbreaking open-weight model that challenges the assumption that top-tier AI requires massive budgets. Developed by Chinese AI lab DeepSeek, V3 achieves performance comparable to GPT-4o and Claude 3.5 Sonnet on major benchmarks while offering dramatically lower API pricing—often 10-20x cheaper than competitors. The model uses an efficient Mixture-of-Experts (MoE) architecture with 671 billion total parameters but only 37 billion active per token, enabling exceptional capability with reasonable compute costs. DeepSeek V3 excels at coding, mathematics, and general reasoning tasks, with particularly strong performance on Chinese language applications. It features a 128K context window and supports function calling for building AI agents. The model's open weights allow for self-hosting and customization, appealing to organizations with data privacy requirements or specific deployment needs. For cost-conscious developers and enterprises seeking GPT-4-class capabilities without GPT-4-class pricing, DeepSeek V3 represents a compelling alternative that has disrupted market expectations about AI pricing and accessibility.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

DeepSeek Model Lineup

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🚀 Quick Start

Get started with DeepSeek V3.1 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-chat-v3.1",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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