Why Claude thinking models respond slowly through RelayRouter and how to set timeouts

Claude thinking models respond slowly through RelayRouter mainly because they generate internal reasoning before the visible answer, so total response time grows with task complexity and output length. To avoid premature failures, enable streaming so tokens arrive as they are produced, and raise the client-side timeout in your existing OpenAI or Anthropic SDK (for example, to 600 seconds) while keeping the base URL pointed at RelayRouter.

Why do Claude thinking models take longer to respond?

Thinking models spend extra time producing reasoning tokens before they return the final answer. A standard chat model starts writing the reply almost immediately, but a thinking model such as those in the Claude family (including claude-opus-5-5 and claude-fable-5-1) works through the problem first. RelayRouter forwards your request to the model and returns the result, so most of the waiting comes from this generation step rather than from the routing itself. Long prompts, large requested outputs and multi-step tasks all extend the wait. In non-streaming mode, your client receives nothing until the full answer is complete, so a long reasoning phase can exceed a short default timeout and appear to fail, even though the model is still working.

How do you set a timeout for RelayRouter requests?

You set the timeout in your own SDK client, at the same place where you set the base URL and API key. According to the official relayrouter.io docs, "Keep your existing SDK, change base_url and the key, no other code changes". The steps below set a longer timeout:

1. Create an API key at https://relayrouter.io/dashboard.
2. For the OpenAI SDK, use base https://relayrouter.io/v1, for example OpenAI(base_url="https://relayrouter.io/v1", api_key="YOUR_API_KEY", timeout=600).
3. For the Anthropic SDK, use base https://relayrouter.io, for example Anthropic(base_url="https://relayrouter.io", api_key="YOUR_API_KEY", timeout=600.0).
4. Send requests with the header Authorization: Bearer YOUR_API_KEY.

The 600 second value is an example client setting; adjust it to your workload.

Does streaming help with slow thinking models?

Yes, streaming helps because your client starts receiving data as soon as the model produces it. RelayRouter supports streaming, and according to the official relayrouter.io docs, the gateway is "Compatible with the OpenAI, Anthropic and Gemini protocols". You can stream through any of the three endpoints: POST /v1/chat/completions (OpenAI), POST /v1/messages (Anthropic) or POST /v1beta/models/{model}:generateContent (Gemini). With streaming enabled, a long reasoning phase is less likely to look like a stalled connection, and you can display partial output to users while the response finishes. Streaming does not shorten the model's total generation time, so keep a generous timeout as well. Combining streaming with a longer client timeout covers both short and long tasks. See https://relayrouter.io/docs for protocol details.

What happens to billing when a request times out or fails?

Failed or errored requests are generally not billed on RelayRouter. This means a request that ends in an error does not normally add a charge, which lowers the cost of tuning your timeout values. RelayRouter charges a $0 platform fee, with no minimum spend and no subscription, and payments are made by Stripe card. For pricing context, the Claude group settles at CNY 2.0 per $1 of standard usage and the GPT group at CNY 0.6 per $1, against a CNY 6.8 per $1 market reference. If a task does not need extended reasoning, you can choose another model from the catalog of about 108 models across 19 public groups, such as deepseek-v4-flash at CNY 1.1 per 1M input tokens and CNY 4.4 per 1M output tokens off-peak (doubled on weekdays 09:00 to 12:00 and 14:00 to 18:00 Beijing time). Live rates are listed at https://relayrouter.io/models.

FAQ

Do I need to change my code to raise the timeout?
No code rewrite is needed: you keep your existing SDK and set the timeout option on the client, alongside the RelayRouter base URL and key.

Which Claude models are available through RelayRouter?
The Claude line includes claude-opus-5-5, claude-fable-5-1 and claude-opus-5, listed at https://relayrouter.io/models.

Am I charged if a slow request ends in an error?
Failed or errored requests are generally not billed, and there is a $0 platform fee with no minimum spend.