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Grok 4.3 Launches on Amazon Bedrock with Million-Token Context Window

Grok 4.3 Launches on Amazon Bedrock with Million-Token Context Window

Grok 4.3, the latest version of the enterprise-focused AI model, is now available through Amazon Bedrock. The release brings a 1 million-token context window and configurable reasoning features aimed at businesses looking to deploy large language models with more control and fewer errors.

Why the context window matters

The 1M-token context window lets the model process massive amounts of text in a single pass — think entire technical manuals, long legal documents, or multi-chapter reports. For enterprise users, that means no chunking or summarization tricks needed to handle big inputs. The model reads the full context and responds accordingly.

Most frontier models max out at 128K or 200K tokens. Grok 4.3's jump to 1 million puts it in a small group of models built for scale. The company behind it claims the low hallucination rates make the output more reliable for regulated industries like finance and healthcare.

Configurable reasoning for enterprise AI

Beyond raw context length, Grok 4.3 introduces adjustable reasoning depth. Enterprises can dial up or down the model's reasoning steps depending on the task — deeper for complex analysis, lighter for simple Q&A. That flexibility helps control latency and compute costs, two big pain points for production deployments.

Amazon Bedrock already hosts a range of models from Anthropic, Meta, and Cohere. Adding Grok 4.3 gives AWS customers another option, especially one tuned for large-context workloads. The service handles the underlying infrastructure, so users don't need to manage GPUs or scaling.

What's known about availability

Grok 4.3 is live now on Amazon Bedrock in select regions. Pricing follows Bedrock's pay-per-token model, though exact rates vary by usage tier. No word yet on whether the model will appear on other cloud platforms.

For developers already on Bedrock, the new model is accessible via the same API calls. The company says documentation and sample notebooks are updated to reflect the new context limits and reasoning controls.

The biggest open question: how well does the low-hallucination claim hold up in real-world enterprise audits? The company hasn't released third-party benchmark results specifically for Grok 4.3. Customers will likely run their own evaluations before moving critical workflows to the new model.