SiliconFlow - AI Model Hosting

One API for all AI models - serverless, fast, and OpenAI-compatible

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Updated Jul 2026 · Added Jun 2026

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What is Siliconflow?

SiliconFlow is an AI infrastructure platform that provides unified access to multiple large language models and multimodal AI models through a single API. It enables developers to run powerful AI models like DeepSeek, Qwen, and MiniMax with flexible deployment options including serverless, dedicated endpoints, and fine-tuning capabilities. The platform is built for speed, reliability, and cost efficiency, serving use cases from coding and content generation to agents and RAG applications.

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Key Features of Siliconflow

Unified API for multiple LLMs and multimodal models
Serverless inference deployment
Dedicated GPU endpoints with guaranteed capacity
Fine-tuning with one-click deployment
AI Gateway with smart routing and rate limiting
High-performance GPUs (NVIDIA H100/H200, AMD MI300)
OpenAI-compatible API
No data storage - privacy guaranteed
Elastic GPUs for flexible FaaS deployment
Train and fine-tune capabilities

Who Should Use Siliconflow?

Code understanding and generation with inline fixes

Multi-step agentic reasoning and workflow execution

Retrieval-augmented generation (RAG) for knowledge bases

Text, image, and video content generation

Customer support bots and document review

Query understanding and real-time search

Personalized recommendations and insights delivery

Siliconflow: Pros & Cons

✓Pros

Blazing-fast inference for language and multimodal models
Flexible deployment options (serverless, dedicated, custom)
Higher throughput and lower latency
Fair and transparent pricing with pay-per-use options
No data storage or lock-in
Fully OpenAI-compatible
One API for all models
No infrastructure headaches
Access to cutting-edge models (Nex-N2-Pro, DeepSeek, MiniMax, Qwen, etc.)

Frequently Asked Questions about Siliconflow

Can I use SiliconFlow as a drop-in replacement for OpenAI's API?

Yes. SiliconFlow's API is fully OpenAI-compatible, so you can swap the endpoint URL and point existing code at their infrastructure without rewriting your integration. You'll need to update your model names to match what SiliconFlow hosts, like DeepSeek-V3 or Qwen instead of gpt-4.

What models does SiliconFlow offer and how much do they cost?

SiliconFlow hosts models including DeepSeek-V3, Qwen, MiniMax, and Nex-N2-Pro across language and multimodal tasks. Pricing varies sharply by model: DeepSeek-V3-Flash runs $0.13/M input and $0.28/M output tokens, while Nex-N2-Pro currently costs $0 per million tokens on both. Check their pricing page for the full list, since new models and promotional pricing change regularly.

Can I fine-tune models on SiliconFlow or just run inference?

SiliconFlow supports both. You can fine-tune models directly on the platform and deploy them with one click to either serverless or dedicated GPU endpoints. This lets you customize models for specific tasks like code understanding or customer support without managing training infrastructure yourself.

Does SiliconFlow store or log the data I send to their API?

No. SiliconFlow explicitly guarantees no data storage, which matters if you're processing sensitive information or want to avoid vendor lock-in. Requests are processed and discarded, so your prompts and outputs do not persist on their servers.