SiliconFlow

Name: SiliconFlow
Brand: SiliconFlow

AI NativeLeader

SiliconFlow's mission is to accelerate AGI to benefit humanity.

Est 2023|Valuation $1.1B|Raised $286.4M|3 Ref Customers

LinkedIn 360|Web traffic 1.1M|FTEs 100|HQ Downtown Core, Central, SG

MarketsFoundation Models

01Competitive Landscape

| Aspect | SiliconFlow | Together AI | GroqCloud | |--------|-------------|-------------|-----------| | Starting Price | Usage-based per model with vendor-published per-usage/pricing; some models listed as free on regional pricing pages. | Usage-based per model with vendor-published per-usage/pricing; model-dependent. | Usage-based per model with vendor-published per-model input/output pricing. | | Best For | China-oriented deployments; developers seeking a single API for multiple open models; ComfyUI cloud workflows via BizyAir. | Developers building on open-model APIs and fine-tuning workflows; production serverless deployments (Western markets). | Low-latency, high-throughput workloads for supported model sets; teams focused on throughput. | | Key Strength | Broad open-model catalog with OpenAI-compatible integration; multiple deployment modes; China-market positioning including domestic-hardware references. | Strong Western-market visibility, enterprise packaging, and broader documentation and support materials. | High throughput and transparent per-model pricing; performance-focused positioning. | | Key Weakness | Limited third-party review coverage; unclear public security certifications; onboarding friction for some non-local users; potential provider-quality variance when used via aggregators. | Costs may rise at scale depending on models; vendor lock-in considerations. | More limited model catalog compared with multi-provider aggregators; hardware availability constraints. | - Direct competitors and differentiators - Together AI / Fireworks AI: stronger visibility in Western markets, more mature enterprise collateral in public documentation; SiliconFlow differentiates on China-market alignment and aggregation of Chinese ecosystem models. - GroqCloud: differentiates on measured throughput and explicit per-model pricing; SiliconFlow positions as a multi-model aggregation and MaaS option. - OpenRouter: functions as a routing/aggregation layer across many providers; SiliconFlow appears as a provider in OpenRouter, and routed experiences depend on routing configuration and provider selection. - Pricing comparison (high-level) - SiliconFlow publishes model-by-model pricing on regional pricing pages and provides a model catalog on its global site. - Groq publishes explicit per-model input/output pricing. - Fireworks publishes a pricing framework and links to detailed serverless pricing documentation. - Customer testimonials comparing products - OpenRouter community discussions include informal comparisons of provider price and perceived quality/timing; these are informal and time-sensitive. - Market share and adoption trends - Press reporting indicates substantial token volumes and rapid growth in China’s inference/MaaS demand; some reporting suggests token-volume leadership does not automatically imply top revenue ranking, highlighting possible monetization differences.

01Competitive Landscape

Aspect	SiliconFlow	Together AI	GroqCloud
Starting Price	Usage-based per model with vendor-published per-usage/pricing; some models listed as free on regional pricing pages.	Usage-based per model with vendor-published per-usage/pricing; model-dependent.	Usage-based per model with vendor-published per-model input/output pricing.
Best For	China-oriented deployments; developers seeking a single API for multiple open models; ComfyUI cloud workflows via BizyAir.	Developers building on open-model APIs and fine-tuning workflows; production serverless deployments (Western markets).	Low-latency, high-throughput workloads for supported model sets; teams focused on throughput.
Key Strength	Broad open-model catalog with OpenAI-compatible integration; multiple deployment modes; China-market positioning including domestic-hardware references.	Strong Western-market visibility, enterprise packaging, and broader documentation and support materials.	High throughput and transparent per-model pricing; performance-focused positioning.
Key Weakness	Limited third-party review coverage; unclear public security certifications; onboarding friction for some non-local users; potential provider-quality variance when used via aggregators.	Costs may rise at scale depending on models; vendor lock-in considerations.	More limited model catalog compared with multi-provider aggregators; hardware availability constraints.

Direct competitors and differentiators
- Together AI / Fireworks AI: stronger visibility in Western markets, more mature enterprise collateral in public documentation; SiliconFlow differentiates on China-market alignment and aggregation of Chinese ecosystem models.
- GroqCloud: differentiates on measured throughput and explicit per-model pricing; SiliconFlow positions as a multi-model aggregation and MaaS option.
- OpenRouter: functions as a routing/aggregation layer across many providers; SiliconFlow appears as a provider in OpenRouter, and routed experiences depend on routing configuration and provider selection.
Pricing comparison (high-level)
- SiliconFlow publishes model-by-model pricing on regional pricing pages and provides a model catalog on its global site.
- Groq publishes explicit per-model input/output pricing.
- Fireworks publishes a pricing framework and links to detailed serverless pricing documentation.
Customer testimonials comparing products
- OpenRouter community discussions include informal comparisons of provider price and perceived quality/timing; these are informal and time-sensitive.
Market share and adoption trends
- Press reporting indicates substantial token volumes and rapid growth in China’s inference/MaaS demand; some reporting suggests token-volume leadership does not automatically imply top revenue ranking, highlighting possible monetization differences.

Aspect

SiliconFlow

Together AI

GroqCloud

Starting Price

Usage-based per model with vendor-published per-usage/pricing; some models listed as free on regional pricing pages.

Usage-based per model with vendor-published per-usage/pricing; model-dependent.

Usage-based per model with vendor-published per-model input/output pricing.

Best For

China-oriented deployments; developers seeking a single API for multiple open models; ComfyUI cloud workflows via BizyAir.

Developers building on open-model APIs and fine-tuning workflows; production serverless deployments (Western markets).

Low-latency, high-throughput workloads for supported model sets; teams focused on throughput.

Key Strength

Broad open-model catalog with OpenAI-compatible integration; multiple deployment modes; China-market positioning including domestic-hardware references.

Strong Western-market visibility, enterprise packaging, and broader documentation and support materials.

High throughput and transparent per-model pricing; performance-focused positioning.

Key Weakness

Limited third-party review coverage; unclear public security certifications; onboarding friction for some non-local users; potential provider-quality variance when used via aggregators.

Costs may rise at scale depending on models; vendor lock-in considerations.

More limited model catalog compared with multi-provider aggregators; hardware availability constraints.