Grok 4.6
An upcoming large language model from xAI featuring two trillion parameters, representing a comprehensive improvement over its predecessor at 1.5 trillion parameters, while maintaining reasoning speed and token efficiency comparable to Grok 4.5.
Core Facts
Grok 4.7 is a minor version iteration built on the Grok 4 series, rather than a major architectural overhaul.
Grok 4.5 is from xAI and is positioned as a high-end model.
Cursor announced a partnership with SpaceX to access larger-scale computing power, covering a complete technology stack from supercomputers/data centers to chips.
Timeline (last 90 days)
In a voxel bench creative generation test, a mysterious model suspected to be a Grok 4.7 checkpoint surpassed Grok 4.6 and even Kimi K3 in areas such as atmosphere creation, color gradients, and creative expression.
The attacker used ARTEX in conjunction with multiple large language models including DeepSeek v4.1-Flash, GLM-5.3, Grok 4.6, and Claude Code.
The claim in the promotional video title that 'Grok 4.6 crushes GPT and Claude' does not provide any empirical data or model performance comparisons.
Grokbot is used in conjunction with the Grok 4.6 and Grok Heavy models.
Musk previously stated that Grok 4.6 is a 1.5 trillion parameter model and that Grok 4.7 is an entirely new 2.1 trillion parameter base model.
Running the same benchmark suite, Grok 4.6 costs $1.86, Astra costs $3.26, and Grok 4.7 costs as much as $3.74 per task.
According to Artificial Analysis testing, Grok 4.6 consumes approximately 38k tokens per task at the MXX High tier, while Grok 4.7 surges to 81k tokens.
Officially, Grok 4.7 is positioned as superior to Grok 4.6 in all respects at the cost of slightly slower service speed, while claiming better token efficiency.
According to empirical test data, Grok 4.6 x high consumed approximately 38k tokens per task, while Grok 4.7 surged to 81k tokens, nearly a 2× increase.
According to hands-on analysis by a YouTube channel, Grok 4.7 scored lower than its predecessor Grok 4.6 on multiple benchmarks.
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All Facts (20)
Grok 4.7 is a minor version iteration built on the Grok 4 series, rather than a major architectural overhaul.
75%VerifiedGrok 4.5 is from xAI and is positioned as a high-end model.
75%VerifiedCursor announced a partnership with SpaceX to access larger-scale computing power, covering a complete technology stack from supercomputers/data centers to chips.
65%UnverifiedAccording to hands-on analysis by a YouTube channel, Grok 4.7 scored lower than its predecessor Grok 4.6 on multiple benchmarks.
60%UnverifiedThe creator described Grok 4.6 as by far the best coding model he had ever seen.
60%UnverifiedThe core focus of Grok 4.6 is coding capabilities and knowledge work.
60%UnverifiedGrok 4.6 is available through Cursor, Grok build, API, and platforms such as OpenRouter, Vercel, and Cloudflare.
60%UnverifiedGrok 4.6's score on the Deep Suite benchmark improved from 54% to 66%.
60%UnverifiedIn a voxel bench creative generation test, a mysterious model suspected to be a Grok 4.7 checkpoint surpassed Grok 4.6 and even Kimi K3 in areas such as atmosphere creation, color gradients, and creative expression.
50%UnverifiedThe attacker used ARTEX in conjunction with multiple large language models including DeepSeek v4.1-Flash, GLM-5.3, Grok 4.6, and Claude Code.
50%UnverifiedThe claim in the promotional video title that 'Grok 4.6 crushes GPT and Claude' does not provide any empirical data or model performance comparisons.
50%UnverifiedGrokbot is used in conjunction with the Grok 4.6 and Grok Heavy models.
50%UnverifiedMusk previously stated that Grok 4.6 is a 1.5 trillion parameter model and that Grok 4.7 is an entirely new 2.1 trillion parameter base model.
50%UnverifiedAccording to Artificial Analysis testing, Grok 4.6 consumes approximately 38k tokens per task at the MXX High tier, while Grok 4.7 surges to 81k tokens.
50%UnverifiedRunning the same benchmark suite, Grok 4.6 costs $1.86, Astra costs $3.26, and Grok 4.7 costs as much as $3.74 per task.
50%UnverifiedAccording to empirical test data, Grok 4.6 x high consumed approximately 38k tokens per task, while Grok 4.7 surged to 81k tokens, nearly a 2× increase.
50%UnverifiedOfficially, Grok 4.7 is positioned as superior to Grok 4.6 in all respects at the cost of slightly slower service speed, while claiming better token efficiency.
50%UnverifiedIn the blogger's Claire weighted index (70% personal taste + 30% LLM judgment), Grok 4.6 surpassed Sonnet 5 and Opus 5, ranking just behind GPT-5.6.
50%UnverifiedWhen looking only at LLM judgment (scored using GPT-5.5), the evaluator tended to dislike Grok, favor Claude Opus and Sonnet, and dislike GPT-5.6.
50%UnverifiedThe blogger considers Grok 4.6 to be a genuine competitor in design output, with many results outperforming out-of-the-box default models, and its color palette style differs from GPT's forest green and Claude's tan-orange combination.
50%