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Leaderboard

Benchmarks Included

Intelligence vs. Value Matrix

Visualizing the trade-off between raw capability (IQ Index) and cost-efficiency (Value Index). The ideal model sits in the top-right quadrant.

USA Models
China Models
• Size = Unified Score
💎 High IQ, Low Value

Premium frontier models

🏆 High IQ, High Value

The sweet spot: Smart AND affordable

Last 30 Days: US vs. China

National scores from the global Top 10. One point per UTC day, using that day’s latest snapshot. Lines connect recorded days. Hover for the snapshot time and scores.

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Company Leaderboard

Which companies are leading based on their models in the Global Top 10? Scores are summed from each company's models that made the cut.

Scoring Methodology

Unified Power Score (0–1000)

Weighted blend emphasizing capability (90%) over cost efficiency (10%).

Unified = 10 × (0.9 × norm(AvgIQ) + 0.1 × norm(Value))

AvgIQ and Value are normalized within the cohort so every run is self-balancing.

Avg IQ (eighteen benchmarks)

Avg IQ combines the eighteen selected benchmark scores using fixed allocations. The denominator always includes all eighteen; missing results contribute zero.

For each benchmark, we use the highest verified score for the exact model across all effort levels. The benchmark version, subset and evaluation protocol must match; results involving fallback to another model are excluded.

Participation does not change benchmark eligibility or scoring. Models have no minimum benchmark-count requirement. Coverage describes available evidence; it does not determine whether a model can rank.

Value (efficiency)

Value = AvgIQ ÷ (Input $/M + Output $/M). Lower cost with higher capability increases Value.

Value is also normalized across the cohort before contributing to Unified. Models without usable public pricing receive zero Value.

National Score

For USA and China, we sum the Unified scores of that nation’s models inside the global Top 10.

This rewards both peak performance and depth in the top of the table.

Not affiliated with any model provider. No guarantees are made about correctness, completeness, or fitness for any purpose.