Artificial Analysis, an independent AI evaluation platform, has ranked Qwen3.8 Max as the best overall model according to their Agentic Index. The ranking comes from Artificial Analysis’s comprehensive evaluation framework designed to assess AI model performance across real-world agent tasks and capabilities.
The Agentic Index is part of Artificial Analysis’s broader suite of capability indices that measure model performance on specific use cases and industries. According to the platform, the index evaluates models on agentic real-world work tasks, agentic tool use, and agentic coding and terminal use, among other metrics.
Artificial Analysis offers multiple evaluation benchmarks to assess different dimensions of AI model performance. Beyond the Agentic Index, the platform maintains separate rankings for coding agents, image and video generation, and speech capabilities. The company provides what it describes as independent evaluations of leading AI models to help users understand the AI landscape and choose appropriate models for their specific use cases.
The platform’s evaluation methodology includes several specialized benchmarks. AA-Briefcase tests models on long-horizon knowledge work with realistic business workflows requiring deliverables such as spreadsheets, presentations, and memos. AA-Omniscience evaluates knowledge and hallucination performance by rewarding accuracy and penalizing incorrect guesses. GDPval-AA v2 assesses models on real-world, economically valuable tasks across various occupations.
Artificial Analysis also tracks other important dimensions of model comparison, including cost per task, output tokens, execution speed and latency, and openness based on availability and transparency. The platform provides personalized model recommendations based on user priorities for intelligence, speed, and cost, and allows comparison of AI agents across capabilities, pricing, and platform support.
The ranking of Qwen3.8 Max reflects performance evaluated through Artificial Analysis’s independent methodology rather than assessments from the model’s creators or vendors.
Key facts
- Qwen3.8 Max ranks first on Artificial Analysis’s Agentic Index
- Artificial Analysis evaluates models on agentic real-world work tasks, tool use, and coding capabilities
- The platform uses specialized benchmarks including AA-Briefcase, AA-Omniscience, and GDPval-AA v2 to assess different performance dimensions