Priors Makes Model Selection Multidimensional
Priors lets developers build personalized AI model rankings from weighted benchmarks, cost, speed, and task performance. Adam Holter’s shared index puts Fable 5.2, Gemini 4 Carbon, and Opus 5.5 at the top.
Priors captures the uncomfortable truth that “best model” is now a workload- and budget-dependent question, not a universal leaderboard.
- –Combines benchmark performance with real usage economics and latency
- –Supports personalized rankings instead of imposing one aggregate score
- –Makes tradeoffs between frontier quality, subscription cost, and task efficiency visible
- –Gives developers a more practical model-selection workflow than chasing headline benchmark wins
DISCOVERED
40m ago
2026-11-10
PUBLISHED
1h ago
2026-11-10
RELEVANCE
AUTHOR
AdamHoltererer