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DeepSeek-V3.1

Paid
4.4
New AI ToolsContact
Inputs: text, codeOutputs: text, code
Type
Saas
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About DeepSeek-V3.1

DeepSeek-V3.1 is a large language model with 685 billion parameters, designed for advanced reasoning, coding, and AI agent deployment. As an open-source model, it aims to provide strong performance comparable to leading proprietary models while offering a reduced-price API for developers and enterprises. The model excels in multi-step reasoning tasks and complex code generation, making it suitable for both research and production environments. It is listed as a top-tier LLM on third-party directories, with a focus on cost-effective access to high-performance AI.

Key Features

685 billion parameter open-source model
Strong performance in coding and software development tasks
Capabilities in AI agent deployment and complex reasoning
Reduced-price API for cost-effective access
Open-source availability for self-hosted or custom deployment
Competitive with leading models like GPT-5 and Claude Opus in benchmarks

Pros & Cons

Pros
  • Open-source model allows full control and customization
  • Strong performance in coding and reasoning tasks
  • Reduced-price API compared to some competitors
  • Large parameter count enables handling of complex queries
  • Suitable for both single-task and multi-step reasoning workflows
Cons
  • Extremely large model requires significant computational resources for self-hosting
  • Pricing model is not publicly listed and requires direct contact
  • Free tier availability is not indicated and should be verified
  • May have higher latency compared to smaller, more efficient models
  • Third-party directory listing may not reflect the most current features or pricing

Best For

Advanced code generation and debugging for developersBuilding and deploying AI agents for automationComplex reasoning and problem-solving in researchCost-sensitive enterprise AI applicationsEducational and academic use in AI experimentationIntegration into third-party platforms via API

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FAQ

Is DeepSeek-V3.1 free to use?
Based on available information, the model is open-source and can be self-hosted at no cost, but cloud API access appears to require contacting the provider for pricing details. No free tier is mentioned in the listing.
What are the hardware requirements to run DeepSeek-V3.1?
As a 685-billion-parameter model, running DeepSeek-V3.1 locally would require substantial GPU memory and computational power, likely multiple high-end GPUs. Exact specifications should be verified from official documentation.
Does DeepSeek-V3.1 support multimodal inputs like images or video?
The available description focuses on text and code capabilities. There is no mention of image, audio, or video processing. The tool appears to be a pure LLM for text-based tasks.
How does DeepSeek-V3.1 compare to other models like GPT-5 or Claude Opus?
According to the third-party listing, DeepSeek-V3.1 is positioned as a strong competitor in coding and reasoning, with a reduced-price API. Benchmarks and user ratings suggest it is comparable, but direct comparisons should be made based on specific use cases.
Can I fine-tune or customize DeepSeek-V3.1?
Since the model is open-source, fine-tuning and customization are theoretically possible, but the large parameter count makes this resource-intensive. Official documentation should be consulted for details on fine-tuning workflows.