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Qwen3 Reranker 8B

Qwen/Qwen3-Reranker-8B

Qwen3 Reranker 8B by Reranker.

Context: 8.2K tokens
Endpoint

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Pricing

Input$0.56 / 1M

Output$0.56 / 1M

Cache Write (5m)Not applicable

Cache Write (1h)Not applicable

Cache ReadNot applicable

Web Search$0 / 1M

Quick Start

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Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="Qwen/Qwen3-Reranker-8B",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="Qwen/Qwen3-Reranker-8B",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common4 params

modelquerydocumentstop_n

Extended2 params

return_documentsmax_chunks_per_doc

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

Qwen/Qwen3-Reranker-8B

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