Multi-category model APIs
The official site states that its large model API covers scenarios such as language, voice, images, and video, making it suitable for unifying multiple model capabilities into a single application flow.
硅基流动 SiliconFlow is an AI platform for developers and enterprises, offering large model API, reserved instances, inference acceleration, and private deployment.
SiliconFlow is an AI capabilities platform for developers and enterprises, offering large model APIs, reserved instances, high-performance model inference acceleration services, and private deployment solutions. According to the official website, it covers a range of model scenarios including language, voice, images, and video, with the goal of helping users connect to and deploy AI capabilities more quickly.
From the pricing page and reserved instances page, the platform supports both usage-based model API billing and monthly billed enterprise dedicated compute plans. For teams that need stable inference, controllable costs, or customized deployment, it functions more like an integrated service entry point from model access to enterprise delivery.
The official site states that its large model API covers scenarios such as language, voice, images, and video, making it suitable for unifying multiple model capabilities into a single application flow.
The pricing center displays available models by vendor, model, and input/output/cache-hit costs, making it easier to choose for production and compare costs.
The official site lists reserved instances, high-performance model inference acceleration services, and private deployment, covering different paths from public cloud access to dedicated enterprise deployment.
Reserved instances emphasize dedicated compute, precision assurance, controllable costs, and enterprise-grade SLA support for core inference workloads.
The official site lists reference performance indicators for high-performance instances, such as TPM, TTFT, and TPS, helping enterprises evaluate deployment specifications based on workload.
Supports BYOC, compute isolation, network isolation, and storage isolation, while emphasizing compliance with industry standards and regulatory requirements.
Integrate language, voice, image, and video capabilities into a single product flow, suitable for teams that need to launch multimodal applications quickly.
For core enterprise inference tasks, use reserved compute and enterprise-grade SLAs to support long-term stable operation, suitable for businesses with requirements for predictable performance.
In high-concurrency or high-usage scenarios, use the model pricing center and inference acceleration services to assess cost structure and optimize resource usage.
For organizations with data isolation, BYOC, or private deployment requirements, adopt enterprise deployment solutions to meet security and operations needs.
For scenarios in education, government services, intelligent computing centers, and AI hardware, plan model integration and deployment based on the industry solutions listed on the page.
SiliconFlow provides large model API services for developers and enterprises, covering scenarios such as language, voice, images, and video. It also offers reserved instances, high-performance model inference acceleration services, and private deployment solutions.
The pricing page shows input, output, and cache-hit fees priced by model, supporting usage-based model API billing. The reserved instances page provides a monthly billed enterprise dedicated compute plan.
It is suitable for teams that need to quickly access multiple model APIs, reliably support core inference workloads, optimize costs in high-concurrency scenarios, or require enterprise-grade reserved compute and private deployment.
The reserved instances page states that enterprise reserved instances can usually be deployed within 1–7 working days, and compute can be expanded and specifications adjusted according to business scale.
The event announcement shows that the anniversary promotion only applies to accounts on the Chinese site that have completed real-name verification, and it only counts Serverless API service usage. It does not include dedicated/reserved instances, batch inference, or elastic GPU services.