Specifications Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.
Reasoning Not collected
Streaming Not collected
Knowledge cutoff Not collected
Parameters Not collected
Architecture Not collected Languages Chinese, English, Spanish, French, Portuguese, Indonesian, Japanese, Korean, German, RussianSource for Languages (opens in a new tab) Named examples from the advertised 201-language/dialect coverage.
Query limit Generic query parameter: 4,000 tokens; model overview: 30,000 per query/documentSource for Query limit (opens in a new tab) Conflicting scopes remain visible. Use 4,000 for queries until the provider clarifies.
Access & pricing Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.
API model ID qwen3.7-text-rerank
Access https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank. Use a Beijing workspace API key.
Regions China (Beijing) Prices retain their published currencies and billing units below.
Published billing units · original currency · observed 14 Oct 2026 Category Usage Rate Unit Reranking Text input1 CN¥0.50 1M tokens
Rate conditions Published domestic-documentation CNY tariff, not a currency conversion from USD. Beijing workspace. No generated-answer estimate is inferred. Pricing source (opens in a new tab) Data & enterprise terms Account-specific regional retention and enterprise policy require confirmation.
Caching Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUT Process & retain The system processes eligible input and retains reusable state.
02 / LATER REQUEST Check available state Reuse depends on matching input, session state and the cache policy.
03 / CACHE HIT Reuse & generate Reusing state can reduce repeated work. Any charges follow the billing rules below.
Alibaba Model Studio · China (Beijing) qwen3.7-text-rerankNot supported Support evidence (opens in a new tab) Caching reviewed 14 Oct 2026
What the measurements say No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model Why it is included Classification inference: the provider names this native API release separately from public Qwen3/GTE/GME/GVE checkpoints, and no exact release was found in the reviewed official Qwen or Alibaba-NLP weight inventories. Absence is supporting evidence, not proof of private checkpoint lineage. Base-model parameter counts are not transferred to this service.
Classification evidence (opens in a new tab) Lifecycle dates Sources reviewed Model notes Reviewed language, retrieval, decision, speech, music, video and world-model releases, with regional prices and limits. Coverage is expanding; public-weight counterparts and unresolved API identities remain under review.
The model-specific table permits 30,000 tokens per item; generic query prose says 4,000 and the card says 32,768. These are conflicting documented limits, not interchangeable context sizes.
A 120,000-token request is described as recommended, but the shared limit note says not to exceed it. Oversized items return HTTP 400 without truncation.
return_documents is documented for older Qwen3/GTE/VL models, but this exact selector is omitted. That option is not assumed supported.
Provider claims about web-search benchmark gains lack a complete evaluation configuration in these sources and are not imported as comparable benchmark scores.
Check against your workload Try representative inputs, measure task success and total cost, then check the exact endpoint’s data policy.
Read our methodology
Also from Alibaba Cloud Qwen3.7-Max Qwen3.7-Max June 2026 Qwen3.7-Max Preview Qwen2.5-Max Qwen3-VL-Plus HappyHorse 1.0 Text-to-Video HappyHorse 1.0 Image-to-Video HappyHorse 1.0 Reference-to-Video HappyHorse 1.0 Video Edit HappyHorse 1.1 Text-to-Video HappyHorse 1.1 Image-to-Video HappyHorse 1.1 Reference-to-Video