SiliconFlow is a cloud platform that lets developers deploy, fine-tune, and run hundreds of large language and multimodal AI models through a single OpenAI-compatible API.
About
SiliconFlow is a cloud AI infrastructure platform that gives developers a single place to run large language models (LLMs) and multimodal models without managing their own GPU servers. It offers one API for a broad catalog of open-weight and commercial models, including families from DeepSeek, Z.ai (GLM), Qwen, Moonshot AI (Kimi), Tencent (Hy), and LongCat, alongside image-generation models such as FLUX.2 and Z-Image-Turbo.
The platform is built around high-speed inference with predictable, usage-based costs. Developers can call models serverlessly with pay-per-token billing, reserve dedicated GPU capacity for steady workloads, fine-tune models to their own data, or route requests through an AI gateway with rate limiting and cost controls. The API is OpenAI-compatible, so existing SDKs and code written against the OpenAI API can typically be pointed at SiliconFlow with minimal changes. The company also publishes developer documentation, a blog with integration guides, and active accounts on X and LinkedIn.
Key Features
Pricing & Fees
- Pricing: Token-based serverless pricing with per-million-token rates; for example, DeepSeek-V4.1-Flash costs $0.15 per million input tokens and $0.60 per million output tokens, with cached input at $0.003. Tencent Hy4-preview is $0.834 in / $2.501 out per million tokens, and Kimi-K3 is $2.70 in / $13.50 out. Image generation starts at $0.005 per image (Z-Image-Turbo); FLUX.2 [flex] is $0.06 and FLUX.2 [pro] is $0.03 per image.
- Free tier: The homepage offers a "Get Started for Free" entry point for new users.
- Hardware: The platform runs on GPUs including NVIDIA H100, H200, AMD MI300, and RTX 4090.
- Use-case coverage: The vendor highlights coding assistance, agents, RAG, content generation, AI assistants, and search/recommendation workloads as primary applications.
Who It's For
SiliconFlow is aimed at developers and engineering teams who need to call many different LLMs and multimodal models without operating inference infrastructure themselves. Typical users include backend and AI engineers building chat applications, coding assistants, or retrieval-augmented pipelines; startups that want usage-based pricing instead of fixed GPU commitments; and data scientists fine-tuning open models for domain-specific tasks. Teams that already use the OpenAI SDK can adopt it with small code changes, making it a practical option for anyone consolidating model access behind one API.
FAQ
What is SiliconFlow?SiliconFlow is a cloud platform for AI inference that lets developers deploy, fine-tune, and run hundreds of LLM and multimodal models through one OpenAI-compatible API.
How much does SiliconFlow cost?Pricing is usage-based per million tokens; for example, DeepSeek-V4.1-Flash costs $0.15 per million input tokens and $0.60 per million output tokens, and image generation starts at $0.005 per image. A free entry point is available to get started.
Does SiliconFlow work with the OpenAI SDK?Yes, the API is OpenAI-compatible, and the company publishes a setup guide for integrating through the OpenAI SDK.
Which models are available on SiliconFlow?The catalog includes models from DeepSeek, Z.ai (GLM), Qwen, Moonshot AI (Kimi), Tencent (Hy), and LongCat, plus image models such as FLUX.2 and Z-Image-Turbo, many with context windows near one million tokens.
What happens to my data on SiliconFlow?The vendor states that no customer data is stored and that users keep ownership of their models.
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