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Working with model APIs

The handful of details that decide what you pay and how fast it feels. Worth ten minutes before you size an order.

Cost

You pay per token, not per request

Roughly 1 token is about 4 English characters, or 1–2 Chinese characters. Input and output are priced separately, and output usually costs several times more than input.

Repeated prefixes cost less

Several providers discount input tokens that repeat an identical prefix, such as a long system prompt. Keeping that prompt byte-identical between calls can cut input cost noticeably.

Cheap models first

Route easy work to a small model and escalate only when confidence is low. This single change is usually the largest saving available, larger than any negotiation on price.

Limits

Context window is a hard ceiling

The window covers the whole conversation: system prompt, history, retrieved documents and the reply. Exceed it and the request fails outright. Trim history or summarise older turns before you reach it.

Two separate rate limits

Requests per minute and tokens per minute are counted independently, and both are enforced. A burst of short requests can trip the request limit while massive prompts trip the token limit.

Read the status code

401 means a bad key, 429 means a rate limit or empty balance, 400 usually means a malformed body or an oversized context, 5xx is the provider's side. Retry 429 and 5xx with backoff; do not retry 401.

Parameters

Temperature

Controls randomness. Near 0 for extraction, classification and format conversion; 0.7–1.0 for writing and brainstorming. Changing it mid-project makes results harder to compare.

max_tokens

Caps the reply length, not the input. It is still billed as output, so setting it very high does not cost anything by itself, but it does allow long expensive replies.

Streaming

Streaming does not make the model faster. It makes the first characters appear sooner, which is what users actually notice. Use it for anything conversational, skip it for batch jobs.

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