This post is co-written with Eric Jiang from xAI (SpaceXAI).
xAI’s Grok 4.3 is now generally available on Amazon Bedrock, giving teams that build agents and AI workflows a model that reasons reliably over long inputs. With this launch, xAI joins Amazon Bedrock as a model provider. Grok 4.3 is a model with configurable reasoning effort. It offers strong tool use and instruction following for building agents, and token efficiency for high-volume inference. It accepts text and image input, and has a 1 million token context window for long documents and multi-turn sessions. The model runs on Mantle, the next-generation inference engine in Amazon Bedrock.
This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use the capabilities most teams reach for first: a basic chat request, configurable reasoning effort, tool calling, structured output, image input, and stateful multi-turn conversations.
Why Grok 4.3 is a great fit for agentic and reasoning workloads
According to xAI, Grok 4.3 is built for enterprise work where accuracy matters. On its own benchmarks at the time of the model launch, xAI reports it outperforms various industry benchmarks. Grok 4.3 ranked #1 on the Artificial Analysis Omniscience benchmark with the lowest hallucination rate among the frontier models it compared. It also placed #1 on the Artificial Analysis Tau2 Telecom benchmark for tool calling in customer support scenarios, and #1 on the Vals AI Case Law and Corporate Finance benchmarks for document understanding. xAI also places the model on the intelligence-versus-cost Pareto frontier, which it describes as 2 to 10 times more intelligence per dollar than other frontier models.
