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GLM Search Pro
zhipuzhipu/search-pro
Flagship BigModel search β richer snippets, deeper coverage.
search-pro is the flagship web-search engine from Zhipu BigModel. It delivers richer content snippets, deeper crawl coverage, and better long-tail retrieval than search-std, while staying inside an OpenAI-style chat completion envelope so it drops into existing pipelines.
Pair it with a small chat model (glm-4.5-air, gpt-5-mini, claude-haiku) to build retrieval-augmented answers without managing your own crawler or embedding store.
Richer snippets
Per-result content fields are longer than search-std, surfacing the answer body directly inside the annotation.
Filtered queries
`search_recency_filter`, `search_domain_filter`, and `content_size: high` are accepted as standard fields.
Citation-ready output
Each hit yields a `url_citation` annotation with byte-accurate `start_index` / `end_index` into the markdown body.
Per-request billing
$0.0108 per call. Predictable cost independent of result size.
When to use
Production retrieval grounding for RAG, research agents, and answer engines that need solid coverage and tunable filters.
When not to use
If you only need link titles and don't care about snippet richness, search-std at ~3Γ lower cost is enough.
Pricing: Flat $0.0108 per call. Filters do not add cost.
Read the web-search tutorial βContext Length
8K
Max Output
--
Request Priceper request
$0.0108/ request
Modalities
textβtext
Pricing Breakdown
| Type | Rate |
|---|---|
| Request | $0.0108 / request |
Supported Parameters
search_recency_filtersearch_domain_filtercontent_size
API Usage Examples
Use the global api.therouter.ai endpoint shown below for new integrations; the legacy China accelerated endpoint is retired.
cURL
curl https://api.therouter.ai/v1/chat/completions -H "Content-Type: application/json" -H "Authorization: Bearer $THE_ROUTER_API_KEY" -d '{
"model": "zhipu/search-pro",
"messages": [
{"role": "user", "content": "Summarize the key points from this input."}
]
}'