Overview

Qwen3-4B-Thinking-2507 is a 4 billion parameter causal language model from Qwen, specifically designed to enhance thinking capability and reasoning depth. This version builds upon previous iterations, offering substantial improvements in handling complex analytical tasks.

Key Enhancements & Capabilities

Advanced Reasoning: Demonstrates significantly improved performance on tasks requiring logical reasoning, mathematics, science, and coding, often associated with human expertise.
General Capabilities: Features markedly better instruction following, tool usage, text generation, and alignment with human preferences.
Extended Context Length: Supports an impressive native context length of 262,144 tokens, enabling enhanced long-context understanding.
Dedicated Thinking Mode: This model operates exclusively in a "thinking mode," automatically incorporating an internal thought process, making it particularly suited for highly complex reasoning problems.
Agentic Use: Excels in tool calling capabilities, with recommendations to use Qwen-Agent for streamlined integration.

Performance Highlights

The model shows strong performance across various benchmarks, including significant gains in reasoning tasks like AIME25 and HMMT25, and improvements in coding, alignment, and agentic benchmarks compared to its predecessor, Qwen3-4B Thinking.

Best Practices

For optimal performance, users are advised to use specific sampling parameters (e.g., Temperature=0.6, TopP=0.95), ensure adequate output length (32,768 tokens for most queries, up to 81,920 for complex tasks), and standardize output formats for benchmarking, especially for math and multiple-choice questions.