SiliconFlow is an AI inference platform serving 200+ open language and multimodal models through one OpenAI-compatible API.
Overview #
SiliconFlow #
SiliconFlow is an inference platform that serves more than 200 open language and multimodal models through one OpenAI-compatible API. SiliconFlow covers both Western and Chinese model families — DeepSeek, Qwen, GLM, Kimi, Gemma and others — which makes it one of the more practical routes to Chinese open-weight models for teams outside China. Alongside serverless per-token inference it offers fine-tuning, reserved and elastic GPU capacity for steady workloads, and an AI gateway with routing and cost controls. SiliconFlow prices per million input and output tokens, so cost scales with usage rather than with committed capacity.
Production credibility: SiliconFlow raised more than 2 billion yuan (about $294M) in a Series B in June 2026, backed by Trip.com Group and SenseTime, per Caixin — its fifth round since being founded in August 2023. The platform lists 200+ models spanning text, image, video, and audio, with published per-token pricing rather than quote-only enterprise terms. Model coverage and latency claims are the company's own, so buyers comparing inference vendors should benchmark on their own workload, since throughput varies sharply by model and by region.
Key Features
- 200+ language and multimodal models behind one OpenAI-compatible API
- Serverless per-token inference with published input and output pricing
- Coverage of Chinese open-weight families including DeepSeek, Qwen, GLM, and Kimi
- Fine-tuning for customizing hosted models
- Reserved and elastic GPU options for sustained workloads
- AI gateway with smart routing and cost controls
- Text, image, video, and audio model categories on one platform
Ideal Use Case
Teams building on open-weight models that want per-token pricing without running their own GPUs, and specifically teams needing access to Chinese model families that Western inference providers carry inconsistently. It fits RAG, coding, agent, and content-generation workloads where model choice changes often enough that one OpenAI-compatible endpoint across many models is worth more than deep tuning of a single deployment.
How SiliconFlow differentiates
OpenRouter routes across third-party providers, while Fireworks and Together optimize their own serving stacks, and each carries Chinese open-weight models only selectively. SiliconFlow's distinguishing feature is first-class coverage of that Chinese model ecosystem alongside Western open weights, served from an infrastructure business that raised at scale inside China's inference market. For buyers outside China the practical questions are data residency and regional latency, which is where a US-hosted provider may still win despite narrower model coverage.
FAQ
Q: What is SiliconFlow? A: SiliconFlow is an AI inference platform serving 200+ open language and multimodal models through a single OpenAI-compatible API, with serverless per-token pricing plus reserved and elastic GPU options.
Q: How much does SiliconFlow cost? A: It prices per million input and output tokens, and the rate varies by model — smaller open models run at a fraction of the cost of frontier open models on the same platform.
Q: Which models does SiliconFlow support? A: More than 200 across text, image, video, and audio, including Chinese open-weight families such as DeepSeek, Qwen, GLM, and Kimi alongside Western open models.
Q: Is SiliconFlow an OpenRouter alternative? A: They overlap. OpenRouter routes requests across many third-party providers, while SiliconFlow serves models on its own infrastructure, and its coverage of Chinese open-weight models is deeper than most Western inference vendors.
tl;dr
SiliconFlow is an AI inference platform serving 200+ open models — including Chinese families such as DeepSeek, Qwen, GLM and Kimi — through an OpenAI-compatible API with per-token pricing. It raised about $294M in a June 2026 Series B.
Key Features #
Why Use SiliconFlow #
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