SpaceXAI Releases Grok 4.6: A 500K-Context Frontier Model Tuned for Long-Running Agents, Coding, and Knowledge Work
SpaceXAI just released Grok 4.6. The release is a post-training upgrade over Grok 4.5 rather than a larger base model. SpaceXAI held the foundation constant and spent the improvement on a longer supplemental training run, regenerated supervised fine-tuning trajectories, and reinforcement learning in agentic environments. Agents that stay on a task across many steps without drifting. Grok 4.6 scores 61 on the Artificial Analysis Intelligence Index, up five points from Grok 4.5 and tied with GPT-
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SpaceXAI released Grok 4.6, a large language model that can process 500,000 context tokens and is designed for long-running tasks, coding work, and knowledge-intensive applications. The update focused on training improvements rather than increasing the base model size, including longer supplemental training, regenerated fine-tuning data, and reinforcement learning in agent environments. The model is available through multiple platforms including an API, Cursor, and Grok Build, with pricing of $2 per million input tokens for standard requests. On performance benchmarks, Grok 4.6 ties with GPT-5.6 Sol Max on the Artificial Analysis Intelligence Index but trails behind on some coding-specific benchmarks like DeepSWE and Terminal-Bench.
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