One API for fast, cost-predictable inference on LLMs and multimodal models
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, SiliconFlow (siliconflow.com) is an AI platform indexed under AI Developer Tools generating 276.3K monthly visits with a month-over-month traffic delta of -32.46K (-10.5%). Its primary geographic market is United States (18.8% traffic share), and it operates on a Pay-as-you-go pricing model. Top competing alternatives by monthly volume include OpenRouter (19.94M visits/mo), Together AI (1.65M visits/mo), DeepInfra (457.81K visits/mo).
Blazing fast API inference for DeepSeek and Qwen models.
OpenAI-compatible endpoint makes switching effortless.
Serverless queues can occasionally spike during peak hours.
Unbeatable pricing for developers.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Access a large catalog of LLMs and multimodal models through a single endpoint, so most existing SDK code works after swapping the base URL and key.
Start with pay-per-use serverless calls, then move to dedicated endpoints, reserved H100/H200/MI300 GPUs or elastic GPU (FaaS) deployment as throughput and cost requirements grow.
Customize supported models on your own data and push the tuned variant to a hosted endpoint without building a training pipeline from scratch.
Transparent rate tables list input, cached-input and output prices per million tokens, plus per-image rates for generation models, making budget planning concrete.
A gateway layer centralizes model access with smart routing, rate limiting and cost-control policies across providers and model families.
SiliconFlow positions itself as AI infrastructure rather than a single model. The platform aggregates a broad catalog spanning text LLMs, image generation (for example FLUX family), video, and audio models, so teams can switch or compare models by changing one parameter instead of rebuilding an integration. Requests are served through an OpenAI-compatible endpoint, meaning existing SDK code often works with only a base-URL and key swap.
Deployment is flexible by design. Developers can start on Serverless inference with pay-per-use billing and no setup, move to dedicated endpoints for isolation and throughput, or reserve NVIDIA H100/H200, AMD MI300 and RTX 4090 class GPUs when they need guaranteed capacity and predictable billing. An Elastic GPU (FaaS) tier targets bursty or spiky inference workloads, and an AI Gateway layer adds smart routing, rate limiting and cost controls across models.
The platform also covers the surrounding lifecycle: data access and processing, fine-tuning and one-click deployment of customized models, and an inference engine tuned in-house for higher throughput and lower latency. SiliconFlow states that customer data is not stored, and pricing is published per million tokens with separate input, cached-input and output rates, which makes cost forecasting relatively straightforward.
Prototype and productionize chat, summarization or RAG features through one API without provisioning or tuning GPUs yourself.
Route high-volume traffic across flash, pro and cached-input tiers, then reserve GPUs where guaranteed throughput beats spot capacity.
Generate images or video and combine them with text models in one workflow, using a single account and billing surface.
Serve reasoning and function-calling models behind a stable endpoint with gateway-level rate limits to keep agent loops reliable and affordable.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | SiliconFlow | 276.3K | -10.5% | 34% direct | Pay-as-you-go | Current |
| 1 | OpenRouter Aggregates a wider selection of global models, but lacks SiliconFlow's specialized high-throughput open-weight infrastructure. | 19.94M | -6.2% | 60% direct | Paid | vs OpenRouter |
| 2 | Together AI Provides robust serverless inference for open models, but has a different pricing and developer tooling ecosystem. | 1.65M | +64.9% | 54% direct | Freemium, Paid | vs Together AI |
| 3 | DeepInfra Offers exceptionally low-cost serverless inference for open-weight models, but features fewer proprietary model options. | 457.81K | -8.9% | 52% direct | Paid | vs DeepInfra |
| 4 | Fireworks Delivers extremely fast inference speeds for open-source models, but supports a slightly narrower model catalog. | 659.69K | +6% | 48% direct | Contact for Pricing | vs Fireworks |
| 5 | Google AI Studio Provides direct access to Gemini models with a generous free tier, but lacks broader open-source model variety. | 112.62M | +2% | 54% direct | Freemium | vs Google AI Studio |
| 6 | Replicate AI Excels at running custom machine learning models and fine-tunes, but can be pricier for standard LLM inference. | 904.04K | -8.4% | 64% direct | Paid | vs Replicate AI |
Aggregates a wider selection of global models, but lacks SiliconFlow's specialized high-throughput open-weight infrastructure.
Aggregates a wider selection of global models, but lacks SiliconFlow's specialized high-throughput open-weight infrastructure.
Provides robust serverless inference for open models, but has a different pricing and developer tooling ecosystem.
Provides robust serverless inference for open models, but has a different pricing and developer tooling ecosystem.
Offers exceptionally low-cost serverless inference for open-weight models, but features fewer proprietary model options.
Delivers extremely fast inference speeds for open-source models, but supports a slightly narrower model catalog.
SpecialistProvides direct access to Gemini models with a generous free tier, but lacks broader open-source model variety.
SpecialistProvides direct access to Gemini models with a generous free tier, but lacks broader open-source model variety.
Excels at running custom machine learning models and fine-tunes, but can be pricier for standard LLM inference.
Excels at running custom machine learning models and fine-tunes, but can be pricier for standard LLM inference.
Offers competitive pricing for open models and GPU hosting, but has a less mature developer ecosystem.
SpecialistSpecializes in high-speed generative media and image models, but offers less comprehensive large language model coverage.
SpecialistSpecializes in high-speed generative media and image models, but offers less comprehensive large language model coverage.
One universal API for 500+ AI models and 1,000+ agentic tools
Free / Open-sourceServerless, decentralized inference for open-source AI models
SpecialistOpen-source, memory-efficient fine-tuning and local model running
SpecialistOpen-source, memory-efficient fine-tuning and local model running
SpecialistEnterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
SpecialistEnterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
