Stay free if you only need get started without credit card and access to the unified multi-model api. Upgrade if you need custom volume pricing and dedicated capacity and rate limits. Most solo builders can start free.
Why it matters: Catalog skews heavily toward Chinese model labs â developers wanting GPT-4.1, Claude, or Gemini will need separate provider accounts
Available from: Pay-as-you-go
Why it matters: Lacks managed fine-tuning and training infrastructure that competitors like Together AI and Fireworks AI offer
Available from: Pay-as-you-go
Why it matters: Documentation and community content are thinner than established Western inference providers
Available from: Pay-as-you-go
Why it matters: Limited enterprise features around SOC 2, HIPAA, or data-residency compared to hyperscaler ML platforms
Available from: Pay-as-you-go
Why it matters: Pricing, while transparent, varies per model â cost forecasting for mixed-model workloads requires careful tracking
Available from: Pay-as-you-go
Why it matters: Advanced feature not available in free plan.
Available from: Pay-as-you-go
SiliconFlow provides unified API access to more than 20 frontier models including DeepSeek-V3.2 and V3.1-Terminus, Z.ai's GLM-5.1, GLM-5, GLM-4.7, and GLM-5V-Turbo, MiniMax-M2.5 and M2.1, Moonshot AI's Kimi-K2.5, and StepFun's Step-3.5-Flash. Coverage spans chat, vision, image generation, and video generation modalities. New models are typically added within days of their public release, with Z.ai's GLM-5.1 listed as available April 3, 2026.
SiliconFlow uses pay-as-you-go per-token pricing that varies by model. The cheapest option is Step-3.5-Flash at $0.10/M input tokens and $0.30/M output tokens, while flagship models like GLM-5.1 cost $1.40/M input and $4.40/M output. Mid-tier models such as DeepSeek-V3.2 land at $0.27/M input and $0.42/M output. A free tier is available to get started, and enterprise contracts can be arranged via the Contact Sales flow.
All three are multi-model inference providers, but SiliconFlow differentiates through earlier and deeper access to Chinese frontier labs like DeepSeek, Z.ai, MiniMax, and Moonshot. Together AI and Fireworks AI tend to offer stronger fine-tuning infrastructure and broader Llama-family coverage, while SiliconFlow emphasizes breadth of cutting-edge base models and transparent per-model pricing. For teams prioritizing model variety and cost, SiliconFlow is often cheaper; for teams needing custom fine-tuning, competitors may fit better.
The platform explicitly targets six workload categories: coding (generation, autocomplete, structured edits), agents (multi-step reasoning and tool-use), RAG (long-context retrieval), content generation (text, image, video), AI assistants (support bots, document review), and search (query understanding, summarization, recommendations). The 262K-token context on models like Kimi-K2.5 and Step-3.5-Flash makes it particularly strong for long-document and agentic workflows.
Yes, SiliconFlow offers a Get Started for Free option on the homepage that lets developers begin testing models without committing to a paid plan. After signing up, you receive API credentials that work against the unified endpoint, and you can switch between models by changing the model ID in your request. For production or enterprise usage, the Contact Sales route provides custom pricing and support agreements.
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Last verified March 2026