Grok 4 Achieves New Benchmark in Logical Consistency, ARC-AGI Score Hits 79.6%

Leading AI researcher Jeremy Berman has lauded xAI's Grok 4 for its exceptional logical consistency, particularly during extended reasoning tasks, attributing this advancement to sophisticated reinforcement learning. Berman, a top performer on the Abstract Reasoning Corpus (ARC-AGI) leaderboard, highlighted Grok 4's capabilities following its recent release. His endorsement underscores the model's significant strides in complex problem-solving.

Grok 4, xAI's flagship next-generation AI model, emphasizes "first-principles reasoning" to achieve improved logical consistency and deeper analytical capabilities. Launched on July 9, 2025, the model is designed to handle intricate mathematical and scientific queries with enhanced accuracy and coherence. This focus on foundational reasoning aims to minimize inconsistencies often observed in AI systems over prolonged thought processes.

The model has demonstrated state-of-the-art performance on the ARC-AGI benchmark, with a new SOTA of 79.6% on ARC-AGI V1 and 29.4% on V2. Jeremy Berman, who previously held top positions on the ARC-AGI-Pub leaderboard, utilized Grok 4 in his latest solution, which also incorporates multi-agent collaboration and evolutionary test-time compute. This achievement positions Grok 4 as a formidable contender in the competitive AI landscape, challenging models from OpenAI and Anthropic.

A core component of Grok 4's enhanced reasoning is xAI's scaled-up reinforcement learning (RL) training. The company leveraged its Colossus 200k GPU cluster to refine Grok's reasoning abilities at an unprecedented scale, significantly expanding verifiable training data across numerous domains. This intensive RL application allows Grok 4 to "think longer about problems and solve them with increased accuracy," as noted by xAI.

Jeremy Berman's public statement, > "I chose Grok 4 for my ARC-AGI solution because it had the most logical consistency when thinking for long periods of time. You can feel the RL that went into it," provides a direct testament to the model's practical performance. His background as a leading ARC-AGI solver lends considerable weight to his assessment of Grok 4's capabilities.

This development signifies a notable advancement in artificial intelligence, pushing the boundaries of what AI models can achieve in complex reasoning and problem-solving. Grok 4's enhanced logical consistency, driven by advanced reinforcement learning, suggests a promising future for AI applications requiring sustained, coherent thought processes across various fields.