SiliconFlow
SiliconFlow operates a Model-as-a-Service cloud platform providing unified API access to 200+ AI models across text, image, video, and audio modalities, serving software developers and AI-first enterprises globally with multi-chip inference support.
- Company typePrivate
- Founded2023
- HeadquartersBeijing, China
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What SiliconFlow does
SiliconFlow is a Singapore-headquartered AI infrastructure company founded in August 2023 by Jinhui Yuan that operates a Model-as-a-Service (MaaS) cloud platform providing unified API access to 200+ open-source and commercial AI models spanning text, image, video, audio, embedding, and reranking modalities. The platform is built on a fully self-developed token generation pipeline and inference engine optimized across heterogeneous hardware — NVIDIA H100/H200, AMD MI300, RTX 4090, Huawei Ascend, MetaX, and Moore Threads — with a single OpenAI-compatible API endpoint (api.siliconflow.com) that abstracts model complexity and enables developers to switch between providers without code changes.
The company serves primarily individual developers, AI engineering teams, and AI-first enterprises through two go-to-market motions: a product-led growth self-serve flow with a free tier on cloud.siliconflow.com and an enterprise motion offering reserved GPU instances, custom capacity, and dedicated support (with mainland China users served via a separate siliconflow.cn property under Singapore governing law). SiliconFlow monetizes primarily through usage-based token pricing ranging from $0.02 to $4.4 per million tokens depending on model, supplemented by reserved GPU subscriptions and a tiered rate-limit structure (L0–L5) scaling to 10,000 RPM and 2,000,000 TPM. Flagship hosted models include DeepSeek (V4-Pro, V4-Flash, V3.2, R1), Alibaba Qwen3 series, Zhipu's GLM-5.2/4.7, and Moonshot's Kimi K2.7-Code/K2.6.
The business has scaled rapidly: as of mid-2026 the platform serves over 10 million users and 10,000+ enterprise customers, processes trillions of daily token calls, reports revenue growing over 10x year-on-year with monthly overseas revenue in the millions of dollars, and has raised approximately $300M cumulatively across five funding rounds led by Alibaba Cloud, with participation from Trip.com, SenseTime, China Unicom, Nio Capital, Biren Technology, Walden International, GGV Capital, and others.
SiliconFlow firmographics
Firmographics- Name
- SiliconFlow
- Legal name
- SILICONFLOW TECHNOLOGY PTE. LTD.
- Website
- https://siliconflow.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- SiliconFlow operates a Model-as-a-Service cloud platform providing unified API access to 200+ AI models across text, image, video, and audio modalities, serving software developers and AI-first enterprises globally with multi-chip inference support.
- Ownership category
- akta.pro rank
SiliconFlow industry classification
Industry- Product category
- AI Inference Cloud Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Software Publishers (51321)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Hosting, Serving & Inference Platforms (HDAAACAB)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), AI Compute Cloud & GPU-as-a-Service (HDAAAAAK), Open-Source Model Ecosystems & Model Marketplaces (HDAAACAM)
Keywords
Where SiliconFlow is headquartered
LocationHeadquarters
- HQ city
- Beijing
- HQ country
- China
- HQ region
- Asia
Offices2 records
Markets served
SiliconFlow business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- API Usage-based Revenue: Pay-per-use model where users are charged per million tokens processed. Different pricing for input vs output tokens, with model-specific rates ranging from $0.02 to $4.4 per million tokens. Serverless deployment charges based on actual API usage.
- Reserved GPU Capacity: Dedicated GPU instances (Reserved GPUs) providing guaranteed capacity for stable performance and predictable billing, targeting enterprises requiring consistent inference performance.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Serverless Pay-per-Use |
| Subscription | Monthly | Reserved GPUs (Dedicated Instances) |
| Usage-based | Monthly | Tiered Rate Limits (L0-L5) |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
SiliconFlow product offering
Product offeringCore offering
SiliconFlow operates an AI Model-as-a-Service (MaaS) cloud platform that delivers unified, OpenAI-compatible API access to 200+ open-source and commercial AI models spanning text, code, vision, image, video, audio, embedding, and reranking. Customers can consume models via serverless pay-per-use, reserved dedicated GPUs (NVIDIA H100/H200, AMD MI300, RTX 4090), elastic auto-scaling GPUs, fine-tuning services, and an AI Gateway for unified routing and cost control. The platform targets software developers, AI engineers, and enterprises building generative AI applications, with separate endpoints for global users (cloud.siliconflow.com / api.siliconflow.com) and mainland China users (siliconflow.cn).
Product overview
SiliconFlow is an AI infrastructure company that operates a Model-as-a-Service (MaaS) platform providing unified API access to 200+ cutting-edge AI models. The core product is the SiliconFlow AI Cloud platform, which offers flexible deployment options including Serverless (instant pay-per-use), Reserved GPUs (guaranteed capacity with NVIDIA H100/H200, AMD MI300, RTX 4090), and Elastic GPUs (scalable FaaS). The platform supports a comprehensive model library across text (LLMs like DeepSeek, Qwen, GLM, Kimi), vision, image generation, video generation (Wan2.2), and audio/speech synthesis (CosyVoice2, Fish-Speech). Additional services include Fine-tuning for model customization, AI Gateway for unified access with smart routing and rate limits, and Train & Fine-Tune capabilities. The company has built a fully self-developed token production line supporting models across diverse chips including Nvidia, Ascend, MetaX, and Moore Threads.
Differentiator
Problem solved
Functional benefit
Products and services
- SiliconFlow AI Cloud Core AI Model-as-a-Service cloud platform providing unified, OpenAI-compatible API access to 200+ cutting-edge AI models (LLMs, vision, image, video, audio, embedding, reranking) for developers, AI engineers, and enterprise customers. Supports serverless, reserved GPU, and elastic GPU deployment options across NVIDIA, AMD, Ascend, MetaX, and Moore Threads accelerators.
- Fine-tuning Service
Quantifiable outcome
- Over 10 million users and 10,000 enterprise customers served
- +3 more outcomes
Companies that use SiliconFlow
Customer profileNamed customers5 records
Segments4 records
Ideal customer profiles3 records
SiliconFlow technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability12 records
Feature6 records
SiliconFlow partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered minor and core.
- Xun'an TechnologyminorEcological cooperation with Xun'an's NoBase backend cloud platform to integrate SiliconFlow AI capabilities, expanding service scope for backend developers.
- DeepSeekcoreDeepSeek models (V4-Pro, V4-Flash, V3.2, R1) are hosted and optimized on SiliconFlow platform. DeepSeek R1 launch drove significant traffic to the platform. DeepSeek V3.2 supports Interleaved Thinking capability.
- Moonshot AIcoreMoonshot's Kimi models (K2.7-Code, K2.6, K2.5) prominently featured on platform with optimizations for coding and agentic workflows.
- Qwen (Alibaba)coreAlibaba's Qwen series models (Qwen3-8B, Qwen3-32B, Qwen3-Coder, Qwen3-VL, Qwen3-Embedding, Qwen3-Reranker) extensively featured with latest releases available on platform.
- Zhipu AIcoreZhipu's GLM series (GLM-5.2, GLM-5.1, GLM-5, GLM-4.7) are flagship offerings on the platform. GLM-4.7 supports Interleaved Thinking feature.
- NVIDIAcorePlatform supports NVIDIA H100/H200 GPUs for inference. Self-developed token production line optimized across NVIDIA and other chip platforms.
- Huawei AscendcorePlatform supports Huawei Ascend chips alongside NVIDIA and other accelerators, enabling domestic chip deployment for Chinese customers.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
SiliconFlow competitors and assessment
Company assessmentDirect peers
- Together AI: Together AI operates a multi-model AI inference cloud offering hosted open-source LLMs (Llama, DeepSeek, Qwen) through a unified API with serverless and dedicated deployment. Closest direct comparable to SiliconFlow in model breadth, API-first developer GTM, and reserved/elastic GPU offerings.
- Fireworks AI: Fireworks AI provides low-latency inference APIs for a wide range of open-source LLMs and multimodal models, with fine-tuning and dedicated deployment. Directly comparable in product surface, developer-centric GTM, and focus on inference cost/performance optimisation.
- Replicate: Replicate runs a cloud API for thousands of open-source AI models (LLMs, image, video, audio) on pay-per-use serverless infrastructure. Comparable model-aggregation model and PLG developer motion, though with less enterprise-tier reserved capacity.
- Novita AI: Novita AI is a GPU cloud and inference platform offering serverless APIs for open-source LLMs with multi-GPU support. Closely comparable as a multi-model inference provider with similar pricing tiers and emerging international footprint, particularly in the Chinese-origin AI infrastructure segment.
- DeepInfra: DeepInfra offers serverless inference for open-source LLMs and other models with simple API access and per-token pricing. Closely comparable in developer-facing model serving economics and breadth of supported open-source models.
Emerging players
- Anyscale: Anyscale (built on Ray) provides managed compute and inference for AI workloads, including hosted LLM endpoints. Comparable in serving and deployment, but with more focus on compute orchestration than model aggregation, and a more enterprise-developer audience.
Broad incumbents
- Hugging Face Inference Providers: Hugging Face operates the dominant model hub and now offers hosted inference via its Inference API and third-party providers. Overlaps with SiliconFlow in aggregating open-source models, but is a broader community/platform play rather than a specialised inference stack.
- Alibaba Cloud Model Studio (PAI): Alibaba Cloud's PAI/Model Studio offers hosted inference for Qwen and other models on Alibaba infrastructure, with full integration into Alibaba's broader cloud stack. Overlaps directly with SiliconFlow for Qwen workloads and represents the most strategically significant competitive threat given Alibaba's lead-investor status.
- AWS Bedrock: AWS Bedrock is a managed service providing access to multiple foundation models (Anthropic, Meta, Mistral, Cohere, Stability) via unified APIs, with knowledge bases, guardrails, and enterprise integration. Comparable multi-model hosted inference offering, but embedded inside a much larger hyperscaler ecosystem.
- Google Cloud Vertex AI: Vertex AI offers hosted access to Google Gemini and a growing list of third-party open models (Llama, Mistral, Anthropic) on Google Cloud, with MLOps and enterprise tooling. Comparable as a multi-model inference platform for enterprise customers, with a broader cloud-services umbrella and Google's own foundation models.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks1 record
Key highlights7 records
Customer concentration
SiliconFlow social profiles
Digital presenceSiliconFlow financial estimates
Financial estimateRevenue estimate
Valuation estimate
SiliconFlow leadership team
Management profileNumber of profiles
Profiles2 records
SiliconFlow funding detail
Funding detailFunding overview
Funding rounds8 records
Investors68 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SiliconFlow M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SiliconFlow
What does SiliconFlow do?
SiliconFlow operates an AI Model-as-a-Service (MaaS) cloud platform that delivers unified, OpenAI-compatible API access to 200+ open-source and commercial AI models spanning text, code, vision, image, video, audio, embedding, and reranking. Customers can consume models via serverless pay-per-use, reserved dedicated GPUs (NVIDIA H100/H200, AMD MI300, RTX 4090), elastic auto-scaling GPUs, fine-tuning services, and an AI Gateway for unified routing and cost control. The platform targets software developers, AI engineers, and enterprises building generative AI applications, with separate endpoints for global users (cloud.siliconflow.com / api.siliconflow.com) and mainland China users (siliconflow.cn).
Is SiliconFlow a public or private company?
SiliconFlow is a private company. It is classified as venture growth investor backed and is currently operating.
When was SiliconFlow founded?
SiliconFlow was founded in 2023. It employs 51 to 100 people.
Where is SiliconFlow based?
SiliconFlow is headquartered in Beijing, China, in the Asia region.
How does SiliconFlow make money?
Two revenue lines are on record. API Usage-based Revenue is the primary driver. The others are reserved GPU Capacity.
Who are SiliconFlow's main competitors?
Direct peers on record are Together AI, Fireworks AI, Replicate, Novita AI and DeepInfra. Anyscale is listed as an emerging player. Broad incumbents are Hugging Face Inference Providers, Alibaba Cloud Model Studio (PAI), AWS Bedrock and Google Cloud Vertex AI.
Does SiliconFlow have an API?
Yes. SiliconFlow provides a public REST API for AI inference across 200+ models including LLMs, vision, image, video, audio, embedding, and reranking. The API is fully OpenAI-compatible, supports streaming output, and uses Bearer token authentication. The API endpoint is https://api.siliconflow.com/v1. Rate limits apply based on user tier (RPM, TPM, RPH, RPD, IPM, IPD metrics). Developer documentation is at docs.siliconflow.com.
What industry is SiliconFlow in?
SiliconFlow's product category is AI Inference Cloud Platform. Its primary akta.pro industry code is HDAAACAB, Model Hosting, Serving & Inference Platforms, with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 51821 and its SIC code is 7372.