Context Window
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Input Price/1M
$2.00
#620 of 775
Output Price/1M
$6.00
Parameters
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Grok 4.6 is an AI model developed by xAI, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via xAI's cloud API.
Grok 4.6 is usage-based, priced at $2/1M input tokens and $6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
We don't have detailed benchmark results for Grok 4.6 yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Grok 4.6 specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Grok 4.6 competes directly with similarly capable models. xAI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Grok 4.6 is an AI model developed by xAI. It is a text model.
Grok 4.6 costs $2/1M input tokens and $6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
We don't have detailed benchmarks for Grok 4.6 yet. Check the main benchmark page to compare available models.
No, Grok 4.6 is a proprietary model from xAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
Grok 4.6 excels at general-purpose language tasks.
Last updated: August 16, 2026 • View methodology →