SiliconFlow

SiliconFlow is a Chinese AI infrastructure company. Its cloud platform, SiliconCloud, hosts mainstream open models such as DeepSeek, Qwen and GLM and sells them as pay-per-use APIs. Its pitch is inference speed and value: running an open model yourself on rented GPUs is both fiddly and expensive, whereas here you sign up and call it.

For developers in China the appeal is direct: stable domestic access, payment in RMB, and an OpenAI-compatible API, so many third-party clients and frameworks accept its address and key out of the box. A number of smaller models are free to call, which suits prototypes and small internal tools. Beyond text models, the platform also offers image generation, speech and embedding models.

Know its boundaries. What it sells is essentially open models; closed models like GPT and Claude are not on offer. Popular models may queue or be throttled at peak times, and heavier usage means paying attention to rate limits and account tiers.

Key features

• Open model APIs: call many mainstream open models in one place, with new releases usually added quickly.
• OpenAI-compatible: change the base URL and model name and existing code and tools work.
• Multimodal models: besides chat models there are image generation, speech, embedding and reranking models.
• Free models: some small models are free to call, fine for testing and lightweight apps.
• Web playground: pick a model and chat on the website, adjusting parameters to test results.
• Dedicated deployment: for businesses with steady demand, private model deployments and fine-tuning services.

How to use

1. Go to the SiliconFlow cloud platform, register with a phone number and complete identity verification as required.
2. Browse the available models and try a few conversations in the web playground.
3. Create an API key in the console and add credit as needed.
4. Enter the base URL, key and model name in your code or a third-party client and start calling.
5. Monitor spending on the usage page and check rate limits before heavy use.

Best for

• Adding LLMs to projects in China: stable network, RMB billing and smoother compliance.
• Using open models in clients: a domestic model source for AI chat clients and plugins.
• Low-cost prototyping: validate ideas quickly with free and cheap models.
• Comparing open models: switch between them on one platform to compare quality and cost.

Strengths and limitations

Strengths

• Stable access in China, with RMB payment that suits domestic users.
• A full range of mainstream open models, quick to add new ones, competitively priced.
• OpenAI-compatible, so integration is cheap.

Limitations

• Essentially open models only; no GPT, Claude or other closed models.
• Popular models can queue, slow down or hit rate limits at peak times.
• Identity verification is required, and account tier affects your allowed call rate.