- 60% of Intelligence Index v5 is based on private test sets or held-out answers, significantly reducing data contamination risks
- Two key benchmarks added: FrontierCode 2.0 (code merge standard) and Terminal-Bench-Science (research tasks)
- Progress Index v1 launched simultaneously, offering a single continuous scale to track long-term model capability evolution
AI CURATED HOT STORY · 10/28/2026
Artificial Analysis Launches v5 Intelligence Index with Anti-Contamination Focus
Artificial Analysis has released the major upgrade to its Intelligence Index, version 5, fundamentally shifting 60% of evaluation weight to private test sets or datasets with withheld answers. This strategic move aims to mitigate data contamination risks, ensuring scores reflect genuine generalization capabilities on unseen data rather than memorized benchmarks.
Technically, v5 introduces two new benchmarks: Cognition’s FrontierCode 2.0 for real-world code merging tasks and Terminal-Bench-Science for scientific agent tasks. Concurrently, the launch of Progress Index v1 provides a single continuous scale to track long-term model capability evolution, addressing the limitations of static snapshots in capturing dynamic trends.
This update significantly impacts the AI ecosystem by offering developers and enterprises a more credible selection tool. By prioritizing anti-contamination measures and practical application scenarios, the v5 Index establishes a rigorous methodological foundation for objectively measuring sustained progress in AI capabilities.
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Total 2 reports · Latest first- Artificial Analysis (@ArtificialAnlys)T1·78 pts
- Artificial AnalysisT1·78 pts
- 60% of v5 evaluations are based on private test sets or held-out answers, significantly reducing data contamination risks
- Two new benchmarks introduced: FrontierCode 2.0 (real-world coding) and Terminal-Bench-Science (agentic scientific tasks)
- Launch of Progress Index v1 provides a single continuous scale to track long-term model capability evolution