xAI's Grok 4.3 model is now generally available on Amazon Bedrock, enabling development teams to build AI agents and workflows with reliable reasoning over long documents.
The model ranks #1 on multiple enterprise benchmarks for accuracy and tool use, and xAI reports it delivers 2 to 10 times more intelligence per dollar than competing frontier models.
Developers access it through OpenAI-compatible APIs and can control reasoning depth per request using configurable effort levels.
What happened
xAI's Grok 4.3 model is now generally available on Amazon Bedrock, Amazon's managed service for accessing foundation models. The model features a 1 million token context window, configurable reasoning effort levels, and support for text and image input, and runs on Mantle, Amazon Bedrock's next-generation inference engine.
Why it matters
Grok 4.3 ranked #1 on the Artificial Analysis Omniscience benchmark with the lowest hallucination rate among frontier models, and #1 on benchmarks for tool calling and document understanding. xAI reports the model offers 2 to 10 times more intelligence per dollar than other frontier models, which could make it a cost-effective choice for enterprises building AI agents and workflows that require accurate reasoning over long documents.
What to watch
Developers can access Grok 4.3 using OpenAI-compatible APIs through region-specific Mantle endpoints (for example, https://bedrock-mantle.us-west-2.api.aws/openai/v1 in us-west-2), and authenticate using either short-term bearer tokens from IAM credentials or long-term Amazon Bedrock API keys. The model supports configurable reasoning effort (none, low, medium, high), tool calling, structured JSON output, and multi-turn conversations.
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Grok 4.3's launch on Amazon Bedrock marks xAI's entry as a model provider on the platform and reflects a broader trend of specialized reasoning models gaining access to enterprise cloud infrastructure. The model's design—with configurable reasoning effort, strong tool use, and document-handling capability—addresses a specific set of enterprise workloads: contract review, credit analysis, case law research, and financial document Q&A, where accuracy and the ability to reason over long inputs matter more than latency alone.
The positioning around cost efficiency (2 to 10 times more intelligence per dollar than frontier competitors) and benchmark leadership on hallucination rate and tool-calling accuracy suggests xAI is competing not on raw capability claims but on practical reliability and operational efficiency. This appeals to development teams building production agents that must make reliable function calls and reason correctly over legal and financial documents, where errors carry real cost.
The technical implementation via Mantle and OpenAI-compatible APIs lowers the friction for adoption; teams already using OpenAI SDKs can swap in Grok 4.3 with minimal code changes. The stateful multi-turn pattern with reasoning traces retained server-side, or the stateless encrypted reasoning option, offers flexibility for different deployment patterns and data residency requirements.
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