Long-context analysis
Review large document collections, transcripts, repositories, or other inputs that fit within a one-million-token context window.
Independent tool overview
Grok 4.3 is an xAI API model built for fast, cost-efficient agents, long-context analysis, instruction following, and tool use.
Visit the official Grok 4.3 site ↗.jpeg&w=3840&q=75)
Overview
Grok 4.3 is a text-and-image input model in the xAI API. It is aimed at developers building agents, assistants, document workflows, and other applications that need reliable instruction following and tool calling without top-tier model pricing.
Its headline specification is a 1,000,000-token context window. Developers can also choose none, low, medium, or high reasoning effort, which makes the same model usable for both quick extraction tasks and more deliberate multi-step work.
This page covers the developer model rather than the broader Grok consumer app. xAI also makes Grok 4.3 available through Amazon Bedrock, while the direct xAI API exposes its own pricing, caching, batch processing, and rate limits.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Review large document collections, transcripts, repositories, or other inputs that fit within a one-million-token context window.
Build workflows that call functions and return structured data rather than relying on unstructured chat alone.
Use a capable frontier-family model at lower token rates than many premium reasoning models.
Set reasoning effort per request so simple work can prioritize speed and harder tasks can receive more deliberation.
Capabilities
Accepts up to 1,000,000 tokens for large inputs and extended conversations.
Supports none, low, medium, and high reasoning effort rather than forcing one latency and depth profile.
Connects the model to application tools, APIs, and external systems.
Can return responses in a developer-defined schema for more reliable automation.
Understands text and image inputs while producing text responses.
xAI offers discounted cached-input rates and lower batch rates for suitable asynchronous workloads.
Process
Step 1
Set up a team, add billing, and generate an API key in the xAI Console.
Step 2
Use the stable model name or its latest alias in a supported SDK or direct API request.
Step 3
Choose none for maximum speed or low, medium, or high based on the task's difficulty.
Step 4
Define callable functions or a structured response format when the workflow needs dependable automation.
Step 5
Track prompt length because requests at or above 200,000 tokens use xAI's higher long-context rates.
Step 6
Test accuracy, latency, tool selection, and failure handling on representative data before scaling usage.
Cost
Direct xAI API usage is token-based. Standard prompts below the long-context threshold cost $1.25 per million input tokens, $0.20 per million cached input tokens, and $2.50 per million output tokens. When a prompt reaches 200,000 tokens, xAI applies long-context rates to all tokens in that request.
$1.25 input / $2.50 output per 1M tokens
Direct xAI API pricing for prompts below 200,000 tokens.
$2.50 input / $5 output per 1M tokens
Applies to the entire request once its prompt reaches 200,000 tokens.
$0.625 input / $1.25 output per 1M tokens
Discounted processing for eligible asynchronous jobs.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Consumer
Consider xAI's newer model when higher capability matters more than Grok 4.3's lower standard pricing.
Explore Grok 4.5 →Consumer
Consider Claude for a different long-context and agentic model ecosystem.
Explore Claude Opus 4.6 →Agents
Consider OpenAI's developer platform when its model and tool ecosystem better fits the application.
Explore OpenAI Frontier →Questions
Grok 4.3 is xAI's fast, cost-efficient developer model for text and image understanding, long-context analysis, instruction following, reasoning, and tool use.
For standard direct xAI API requests, it costs $1.25 per million input tokens, $0.20 per million cached input tokens, and $2.50 per million output tokens. Long-context and batch requests use different rates.
The model supports a context window of up to 1,000,000 tokens.
Yes. It accepts text and image inputs and produces text output.
Yes. Developers can set reasoning effort to none, low, medium, or high.
No. Grok 4.3 is a specific model available to developers, while Grok is the broader consumer application and product experience.
Yes. xAI announced Grok 4.3 availability through Amazon Bedrock in supported regions.
Bottom line
Grok 4.3 is a strong fit for developers who want long context, tool calling, and selectable reasoning at an unusually low standard token price. The main budgeting catch is xAI's separate long-context rate once prompts reach 200,000 tokens.
Visit Grok 4.3 website ↗
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