Yomi APISiliconFlow versus API relays: two service models explained (2026)
The short answer: SiliconFlow is a MaaS platform selling open-source model inference. A legitimate API gateway sells unified access and billing for official provider models. Their sources, billing subjects and audiences differ.
Introduction
Developer Li needed DeepSeek for completion and Claude for long documents. One friend recommended SiliconFlow's inexpensive open-source models; another suggested a gateway offering GPT and Claude with one key. Both called models through APIs, so why were they so different?
This article compares MaaS platforms such as SiliconFlow with API gateways and gives a simple selection rule.
Key takeaways
- SiliconFlow is MaaS: hosted open-source inference, mainly DeepSeek, Qwen and GLM, selling compute and inference services.
- A gateway aggregates official channels from 30+ providers, including closed-source flagships.
- Billing differs: inference compute for MaaS, unified model token usage with separate input/output rates for gateways.
- Both offer OpenAI-compatible APIs and can coexist; change base_url in the same codebase.
- The choice: open-source flexibility or closed-source flagship coverage?
SiliconFlow: MaaS for open-source inference
SiliconFlow is a Model-as-a-Service platform. It deploys and hosts open-source models, packaging GPU compute as inference APIs. You pay for compute and inference service.
- Primarily open-source models, including multiple versions of DeepSeek, Qwen and GLM.
- Affordable and quick to start: without closed-source licensing costs, inference is generally cheaper than premium closed models, suiting volume, prototypes and experiments.
- Strong Chinese ecosystem: rapid domestic model iteration and plentiful community material.
SiliconFlow suits users who want open-source models without deploying their own GPUs.
API gateways: unified access and settlement
A gateway does not train models. It collects official channels from multiple providers into one authentication, billing and routing layer.
Model coverage is the clearest difference from MaaS. Gateways connect official OpenAI, Anthropic, Google, DeepSeek, Zhipu and xAI APIs, including closed-source flagships such as GPT and Claude. The Model Explorer typically offers 200+ models.
The product is convenient access and billing:
- One key for all models, without separate registrations, top-ups and reconciliation.
- Separate input/output token prices and itemized console records.
- Low-latency global nodes and automatic failover reduce single-route disruptions.
Some gray-market operators also use the term relay. Here we mean legitimate gateways with official channels, clear pricing and no content storage. For the distinction, see What is an API relay? for a fuller explanation.
Key differences in one table
| Dimension | SiliconFlow (MaaS) | API gateway |
|---|---|---|
| Model source | Hosted open-source inference, mainly DeepSeek, Qwen and GLM | Official channels from multiple providers, including GPT/Claude flagships |
| Closed-source flagships | Does not provide closed-source GPT/Claude flagship families | Includes closed-source flagships among 200+ models |
| What is billed | Inference compute consumed, metered by token | Unified model access, by token with separate input/output prices |
| Latency profile | Determined by the platform's inference nodes and routes | Global low-latency access with intelligent failover |
| Audience | Open-source users prioritizing Chinese support and compute costs | Teams needing closed-source flagships and unified billing under one key |
MaaS sells model inference; aggregation sells access channels. The layer you need determines the fit.
How to choose: two compatible approaches
Here is a simple decision rule.
- For primarily open-source models, Chinese-language support, low inference costs, volume or prototypes, MaaS such as SiliconFlow fits well.
- For GPT/Claude flagships or multiple providers without multiple keys and bills, a gateway is simpler, with unified settlement and itemized records.
The approaches can coexist. Both are OpenAI-compatible; change base_url in the same code:
from openai import OpenAI
client = OpenAI(
api_key="sk-YOUR-YOMI-API-KEY", # Key created in the console
base_url="https://api.yomiapi.com/v1" # OpenAI-compatible address including /v1
)
# Same key: call a closed-source Claude flagship
resp1 = client.chat.completions.create(
model="claude-sonnet-5",
messages=[{"role": "user", "content": "Summarize this code"}]
)
# Same key: call an open-source DeepSeek model
resp2 = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Explain MaaS"}]
)The two model names are examples;check the Model Explorer the current listing takes precedence.
Whichever type you choose, avoid gray-market relays. The June 2026 advisory's four risks concern unsafe channels. Legitimate platforms provide official sources and clear pricing; Yomi API promises no request-content storage and TLS 1.3. For overseas services such as OpenRouter, see OpenRouter alternatives.
Final thoughts
Li's combination — DeepSeek for coding and Claude for long documents — does not require choosing only one. A gateway key can call both with one bill. If the product only uses open-source models and is cost-sensitive, SiliconFlow may be cheaper.
Both address access and payment hurdles, from different layers:one provides inference, the other aggregates channels. Identify the layer you need to make the decision clearer.
Need GPT, Claude and DeepSeek without multiple keys and bills?Yomi API One key gives unified access and billing, with RMB top-ups through WeChat Pay/Alipay. Start with a few dozen yuan. For details, see the one-key guide to all models.