GDPx measures agentic capabilities across 11 high-value domains
SemiAnalysis has released GDPx, a benchmark that tests frontier models’ agentic capabilities across 11 specialist domains ranging from chip design and biology to software engineering.

AT A GLANCE
Key points
- GDPx measures agentic capabilities across 11 high-value specialist domains.
- The best model reached only a 12% overall score in the initial results.
- Safety classifiers can affect model rankings in some domains.
What is changing?
SemiAnalysis has released GDPx to evaluate general-purpose AI agents in economically valuable specialist domains. The benchmark spans 11 areas, including chip and hardware design, cybersecurity, biology, finance, legal work, quantitative trading, recursive self-improvement, materials science, alignment and software engineering.
In the initial published results, the best model achieved an overall score of only 12%. The authors say safety classifiers restrict some models’ responses in cybersecurity, biology and alignment, and that rankings can change when those three areas are removed. The results therefore reflect not only raw capability but also whether a model is willing to answer a task.
GDPx offers technical teams a difficult, domain-focused comparison when selecting models. However, the benchmark deliberately excludes sectors such as government, real estate and insurance, so production decisions should still include an organization’s own tasks, costs and safety policies.
Explore the original sources
Source date: 2 November 2026.
Published by AI Radar: 2 Nov 2026, 09:00 (Istanbul, UTC+3).
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