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The homepage promotes a free start through Get Started for Free links, but the length, quota or credit amount of any free allowance is not stated on the homepage.
Learn moreSiliconFlow
Unified AI inference platform for 200+ LLMs and multimodal models.
Advanced API
What is SiliconFlow?
SiliconFlow is a developer focused AI inference platform offering one OpenAI compatible API for 200+ LLMs and multimodal models, with serverless, fine-tuning, reserved GPU and elastic GPU deployment options plus an AI gateway for routing and cost control.
SiliconFlow is an AI inference platform aimed at developers who need to run large language and multimodal models without building GPU infrastructure. It offers a single API that reaches a large catalog of open and commercial models, including chat LLMs from Tencent, DeepSeek, Z.ai, Qwen, Moonshot AI and LongCat as well as image, video and audio models. The homepage stresses speed, accuracy and predictable pricing, with per million token rates published for each model. The platform supports several deployment styles: serverless inference for instant access with pay per use billing, fine-tuning for customizing models to a specific use case, reserved GPUs for guaranteed capacity and stable billing, and elastic GPUs for flexible function as a service style deployment. An AI gateway layer adds smart routing, rate limits and cost control. Typical workloads listed include coding assistance, agentic systems, retrieval augmented generation, content generation across text, image and video, customer support bots and search summarization. In practice, a developer signs up at the cloud console, picks a model, and sends requests through an OpenAI compatible API, so existing SDKs and tooling can be reused. Context windows on several current models reach roughly 1M tokens, and maximum output limits vary by model. The platform says no data is stored and that models stay under the customer's control, which matters for teams with privacy constraints. SiliconFlow sits between direct model provider APIs and self hosted GPU setups. Compared with managing your own inference stack, it removes the hardware work while keeping model choice broad; compared with a single vendor API, it consolidates many models behind one endpoint and one billing relationship. It is a developer first product, so non technical users looking for a finished chat app will find it too low level.
How do you use SiliconFlow?
1Create a SiliconFlow cloud account
Open the cloud console and register for an account. This is the starting point for API keys, billing and model access.
2Browse the model catalog
Review the LLM, image, video and audio model listings to compare context windows, output limits and per token pricing before choosing a model.
3Read the API documentation
The docs cover authentication, endpoints and request formats, including OpenAI SDK compatibility, so you can wire the API into existing code.
4Choose a deployment mode
Decide between serverless pay per use calls for quick starts, fine-tuning for custom behavior, or reserved and elastic GPUs when capacity guarantees matter.
5Send your first API request
After signing in, create an API key in the console and send a test request to a selected model using an OpenAI compatible client library.6Set rate limits and cost controls
Configure the AI gateway to apply routing rules, rate limits and spending controls, and review the blog guidance on 429 retry strategies for production traffic.
Pros and cons
Pros
- A single OpenAI compatible API covers a wide catalog of LLM, image, video and audio models from multiple vendors.AI
- Deployment choices range from instant serverless calls to fine-tuning, reserved GPUs and elastic GPUs.AI
- Published per million token pricing for each model makes cost comparison straightforward.AI
- The AI gateway adds routing, rate limits and cost controls useful for production workloads.AI
- Homepage states that no data is stored, which suits privacy sensitive deployments.AI
Cons
- The product is aimed at developers; there is no end user chat interface or app for non technical users.AI
- Model availability and per token rates change frequently, so published prices can age quickly.AI
- Fine-tuning, reserved GPUs and gateway features add configuration work that beginners may find heavy.AI
- Details on data residency, SLAs and regional coverage are not stated on the homepage.AI
- The FAQ lists questions about support and reliability but the homepage gives no concrete service level commitments.AI
How much does SiliconFlow cost?
Pricing
Per model, per million token pricing is shown on the homepage and model pages. Examples include DeepSeek-V4.1-Flash at $0.15 input and $0.6 output, GLM-5.3 at $1.4 input and $4.4 output, and Kimi-K3 at $2.7 input and $13.5 output. Serverless is pay per use; reserved GPUs and fine-tuning are billed separately. Full plan details sit on the pricing page.
Learn moreSupport
A contact page and a developer FAQ are linked from the homepage. The FAQ headings cover support, performance and reliability, but no specific response times or support tiers are stated on the homepage.
Learn moreIntegrations
The platform is described as OpenAI compatible, and the blog covers OpenAI SDK setup for SiliconFlow integration. The homepage names no other third party integrations.
Learn moreFeatures
One API for open and commercial LLMs and multimodal models across text, image, video and audio. Deployment modes include serverless inference, fine-tuning with one click deployment, reserved GPUs, elastic GPUs and an AI gateway with smart routing, rate limits and cost control. The homepage also cites OpenAI compatibility, no data storage and support for coding, agents, RAG, content generation, assistants and search workloads.
Learn moreFrequently asked questions about SiliconFlow
How much does SiliconFlow cost?
Per model, per million token pricing is shown on the homepage and model pages. Examples include DeepSeek-V4.1-Flash at $0.15 input and $0.6 output, GLM-5.3 at $1.4 input and $4.4 output, and Kimi-K3 at $2.7 input and $13.5 output. Serverless is pay per use; reserved GPUs and fine-tuning are billed separately. Full plan details sit on the pricing page.Does SiliconFlow offer a free trial?
The homepage promotes a free start through Get Started for Free links, but the length, quota or credit amount of any free allowance is not stated on the homepage.Does SiliconFlow have an API?
Yes, SiliconFlow offers an API.How do you use SiliconFlow?
The walkthrough on this page covers 6 steps: 1. Create a SiliconFlow cloud account 2. Browse the model catalog 3. Read the API documentation 4. Choose a deployment mode 5. Send your first API request 6. Set rate limits and cost controls.What platforms does SiliconFlow support?
SiliconFlow is available on Web App.What does SiliconFlow integrate with?
The platform is described as OpenAI compatible, and the blog covers OpenAI SDK setup for SiliconFlow integration. The homepage names no other third party integrations.
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Added10/21/2026
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