alibaba-pai/SearchQwen3-8B

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

SearchQwen3-8B is an 8.19 billion parameter compact Search Agent model developed by Alibaba Cloud PAI, built upon the Qwen3-8B base model. It is specifically trained with environment-aligned, solver-verified search trajectories using EasyDistill 2.0, enabling robust multi-hop search, browsing, and evidence integration capabilities. This model excels at structured tool-call interactions for search tasks, demonstrating significantly improved accuracy in Deep Search and overall performance compared to its base model. With a context length of 40,960 tokens, it is optimized for complex information retrieval and agentic workflows.

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Overview

SearchQwen3-8B is an 8.19 billion parameter Search Agent model developed by Alibaba Cloud PAI, based on the Qwen3-8B architecture. It is specifically designed for agentic workflows involving search, browsing, and evidence integration, leveraging structured tool-call interfaces.

Key Capabilities

  • Optimized for Search Agent Tasks: Trained using EasyDistill 2.0 with environment-aligned, solver-verified search trajectories from the SynSearch-Data dataset.
  • Structured Tool-Call Support: Designed to interact effectively with external search and browse tools through a structured tool-call mechanism.
  • Enhanced Performance: Demonstrates improved accuracy in Deep Search (35.42%) and overall performance (50.31%) on LLM-judge benchmarks compared to the base Qwen3-8B model, particularly in multi-hop QA and deep search tasks.
  • Large Context Window: Features a context length of 40,960 tokens, suitable for processing extensive search results and complex queries.

When to Use This Model

SearchQwen3-8B is ideal for applications requiring a compact yet powerful model for:

  • Multi-hop Question Answering: Effectively integrates information from multiple search queries to answer complex questions.
  • Automated Browsing: Navigating and extracting information from web pages.
  • Evidence Integration: Synthesizing information from various sources to form coherent responses.
  • Agentic Workflows: Serving as the core intelligence for search-driven AI agents that need to interact with external tools.