SiliconFlow
To provide the world's most efficient AI infrastructure, lowering the cost and barrier of AI application development through optimized inference and deployment.
At a Glance
- AI Developers
- Tech Startups
- Enterprise R&D Teams
- AI Researchers
AI Tools by SiliconFlow
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SiliconFlow
Multi-Model AI Inference Platform
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Latest News
SiliconFlow adds support for GLM-5.1 latest large language model.
GLM-5V-Turbo multimodal model now available on SiliconCloud.
SiliconFlow completes Series A funding led by Alibaba to accelerate AI cloud infra.
SiliconFlow and Huawei partner to bring DeepSeek models to Ascend Cloud.
Products & Services
A global AI infrastructure platform providing lightning-fast API access to 200+ optimized LLMs and multimodal models (DeepSeek, Qwen, GLM, Llama, etc.).
Scalable and cost-effective fine-tuning pipeline for open-source models with reserved GPU options.
Private cloud deployment and dedicated GPU instances for enterprise workloads.
Market Position
Positions as the most cost-effective and highest-performance AI API provider ('Cheapest LLM API'), competing with major cloud providers by offering deeper optimization for open-source models.
Leadership
Founders
Yuan Jinhui (袁进辉)
PhD from Tsinghua University. Former supervising researcher at Microsoft Research Asia (MSRA). Founder and CEO of OneFlow (Beijing Oneflow Technology). Known as 'Lao Yuan' in the Chinese AI community.
Pan Yang (杨攀)
Former Head of Developer Relations at LeanCloud and VP of Growth at various tech startups. Expert in developer ecosystems and growth.
Executive Team
Yuan Jinhui
Co-Founder & CEO
Former founder of OneFlow, ex-Microsoft Research Asia.
Pan Yang
Co-Founder & VP of Growth
Expert in developer relations and ecosystem growth.
Board of Directors
Founding Story
Founded by Yuan Jinhui after his work at OneFlow, SiliconFlow was started to solve the high cost of AI inference. The team leverages their expertise in deep learning frameworks to build an acceleration engine that significantly reduces the computational resources needed for large models.
Business Model
Revenue Model
Token-based API usage fees (SaaS/PaaS) and dedicated instance subscriptions.
Pricing Tiers
Access to selected open-source models with rate limits.
Transparent token-based pricing (e.g., $0.04/1M tokens for rerankers). Cheapest in the industry.
Dedicated GPU instances and priority support.
Target Markets
- AI Developers
- Tech Startups
- Enterprise R&D Teams
- AI Researchers
- LLM Application Development
- Image/Video Generation
- Enterprise AI Search
- Automated Content Creation
- Various AI startups in China and globally
- Individual developers
- Huawei