Grok 4.3 Lands on Amazon Bedrock for Business
Grok 4.3 went generally available on Amazon Bedrock on June 15, bringing a million-token context window, tunable reasoning and pricing aimed at enterprise use.
- Grok 4.3 became generally available on Amazon Bedrock on June 15.
- The model ships with a 1 million token context window and four reasoning levels.
- On-demand pricing is $1.25 per million input and $2.50 per million output tokens.
- xAI claims Grok 4.3 has the lowest hallucination rate among leading models.
Wondering whether it matters that yet another AI model showed up on yet another cloud platform? If you build on AWS, it does. As of June 15, Grok 4.3 is generally available on Amazon Bedrock, which means you no longer have to call xAI’s model through a separate account. It now runs through the same infrastructure as the other models you already use.
This is the first time xAI shows up as a provider on Bedrock. For development teams that skipped Grok until now because wiring it into an existing AWS pipeline was a hassle, that barrier just dropped.
What exactly do you get with Grok 4.3?
The biggest draw is the million-token context window. That is enough to feed the model an entire contract, a hefty knowledge base or the full codebase of a smaller project and have it actually hold all of that in mind while it answers. For legal research and financial document analysis, where context tends to slip away, that is no small thing.
The second detail worth noting is the tunable reasoning levels. You choose between none, low, medium and high. In practice that means simple data extraction costs less and comes back fast, while harder tasks let the model think longer. You are not paying for maximum reasoning on a question that answers itself in two seconds.
Under the hood runs a new inference engine xAI calls Mantle. It supports tool calling, structured output and response streaming. In plain terms: the model can call functions on its own, return clean JSON instead of scattered text, and print its answer in real time as it generates it. Those are three things any serious business workflow asks for.
Pricing is set to stay competitive. The on-demand rate is $1.25 per million input tokens and $2.50 per million output tokens. For a company processing a stack of documents a day, the gap between low and high reasoning shows up quickly on the bill.
Is this enough to switch models?
xAI highlights one figure that could tip the scales for serious users: the company claims Grok 4.3 has the lowest hallucination rate among leading models. That is a bold statement and worth testing on your own data before you take it at face value, but if it holds up, legal and financial tasks mean fewer errors someone has to chase down by hand.
xAI positioned the model squarely for business workflows: customer support, web development, legal research and financial document analysis. It is no accident that those are the areas where high accuracy and a large context window genuinely pay off, and where even a small saving per request, multiplied across thousands of calls, turns into real money.
Our take is sober. If you are already on AWS, try Grok 4.3 on a concrete task from your typical workflow and compare it against the model you currently use, on both accuracy and cost. Availability on Bedrock removes the technical barrier, but the decision is still yours, based on your own numbers.
So would you try Grok 4.3 in your own work, or are you sticking with the model you already trust?
