DeepSeek Search and Fetch API vs Parallel Search and Task APIs

DeepSeek Search and Fetch API

Search returns up to 50 results with a model-length summary, an authority tier and optional full text, and only successful non-empty calls are billed, at $0.75 per 1,000. It opened on 17 October 2026, with 5 requests a second per account, no OpenAPI file, no free tier, and data held in the PRC under a policy that permits training.

Parallel Search and Task APIs

Fast-mode search at $1 per 1,000 with 10 excerpted results, and a keyless two-tool Search MCP annotated read-only. Search defaults to advanced mode at $5 per 1,000 when mode is left out, and the Customer Terms allow training on inputs and outputs.

DeepSeek Search and Fetch API

1. Keep query to 128 characters and put filters in it as operators, such as site:github.com lang:en after:2026-01-01
2. Leave need_content false and read summary first, then call Fetch on the URLs you keep
3. Stay under 5 requests a second per account across all keys. On 408, 429 or 5xx wait and retry, since no Retry-After is documented
4. Don't retry a Fetch 403 or 404 unchanged. The page is blocked by policy, unreachable or has no Markdown
5. Don't send private queries or an end user's IP in localization. Data is stored in the PRC

Parallel Search and Task APIs

1. Pass mode: "fast" on every API search. Without it you pay the advanced rate. On an authenticated MCP connection, pin it with ?mode=fast
2. Create Task runs with max_retries=0 and check for an existing run before retrying
3. Give an objective plus two or three short search_queries. That's what ranks the excerpts
4. On 402, check available balance rather than total. Running tasks reserve credit
5. Ask for zero data retention or use the EU endpoint before sending private queries. The default terms allow training on them