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SiliconFlow is an AI cloud platform that helps developers run and scale AI models efficiently across multiple use cases. They provide a unified environment to access high-speed AI inference, multimodal model execution, and one API for multiple LLMs, enabling teams to build AI applications without managing complex infrastructure. The platform supports text, image, video, and audio models, allowing users to handle tasks like code generation, content creation, AI assistants, and retrieval-based systems in a single workflow.
They offer a flexible ecosystem with serverless deployment, dedicated GPU access, and fine-tuning capabilities, giving developers full control over performance and cost. Users can integrate AI Gateway routing, multi-agent workflows, real-time search, and long-context processing, while benefiting from high-performance GPUs like NVIDIA H100 and AMD MI300 for faster execution. With OpenAI-compatible APIs, scalable infrastructure, and no data storage for privacy, they are well-suited for startups, enterprises, and AI teams building production-ready systems.
And the best part? They offer pay-as-you-go pricing based on token usage, starting from $0.14 per million tokens for input and $0.28 per million tokens for output.
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