Grok 4.3 needs multiple iterations

The useful signal here is not raw puzzle success, but the amount of iteration needed to get there. That makes this a better read on agent-style workflows than on pristine benchmark performance.

• –The setup is a custom reasoning test, so treat it as an anecdotal eval rather than a standardized leaderboard result
• –Multiple iterations suggest the model can recover with self-checks, but first-pass planning is still a weak spot
• –That matters for developers building copilots or agents: orchestration, retry loops, and validation may matter as much as the base model
• –xAI’s docs position Grok 4.3 as its current flagship LLM, so this video is effectively a field test of the model users can actually call
• –The clip is more interesting as a reliability demo than as a pass/fail scorecard