Grok 4.3

grok-4.3

Grok 4.3 is xAI’s reasoning model with text and image input, configurable reasoning effort, function calling, and structured output support. xAI and third-party descriptions emphasize long-context use, agent workflows, instruction following, and factual accuracy. It should be introduced as a reasoning-and-agent model rather than only an X-connected chatbot.

Context Window

1M tokens

Maximum Output

30K tokens

Release Date

Apr 17, 2026

Modalities

Grok 4.3 Pricing

Input PriceOutput PriceCache Read
$1.25/M$2.5/M$0.2/M

Grok 4.3 API Capabilities

Reasoning

Supported

Tool calling

Supported

Temperature parameter

Supported

Attachments

Supported

Knowledge Base

—

Endpoint Protocols

Completions APIMessages APIgemini

Grok 4.3 Model Highlights

Grok 4.3 combines configurable reasoning, instruction following, visual understanding and a million-token context window for general-purpose development workloads.

Configurable Reasoning

Reasoning can be set from none through high, letting developers balance response speed against analytical depth for each workload.

Million-Token Context

A 1,000,000-token context window supports analysis of extensive document sets, code collections and accumulated application state.

Visual Instruction Understanding

The model accepts text and image inputs and follows detailed instructions, enabling analysis that combines visual evidence with written context.

Grok 4.3 Use Cases

Grok 4.3 is suited to long-context analysis, image-assisted review and responsive assistants whose requests vary in reasoning complexity.

Large-Corpus Analysis

Review extensive collections of documents or code, identify relationships and produce consolidated findings without excessive chunking.

Image-Assisted Review

Interpret screenshots, diagrams or photographed documents alongside written requirements to identify issues and explain relevant details.

Adaptive User Assistants

Handle routine questions quickly while applying deeper reasoning to complex requests within the same assistant experience.

How to Use Grok 4.3 via the TokenHub API

Create API key
import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)

Grok 4.3 Benchmarks

Index score
Artificial Analysis Intelligence IndexArtificial Analysis broad capability aggregate37.6
Artificial Analysis Coding IndexArtificial Analysis software task aggregate41
Knowledge & Reasoning
GPQAAdvanced science problem solving90.1%
HLEBroad expert-level exam set35%
Coding & Engineering
SciCodeScientific coding challenges47.3%
Terminal-Bench HardHard terminal task execution37.9%
Instruction Following & Agent Tasks
IFBenchPrompt constraint adherence81.3%
AA-LCRLong-context reasoning64.3%
τ²-BenchAgent workflow tasks97.7%

Metrics sourced from Artificial Analysis

Media and Discussions

Selected public videos and posts related to this model.

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Reddit

YouTube

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Frequently asked questions about Grok 4.3

Understand what Grok 4.3 is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.

What is Grok 4.3, and where does it fit in xAI’s model lineup?+

Grok 4.3 is xAI’s general frontier model with configurable reasoning, long-context processing, and agent-oriented tool use. It is a current public model in its provider’s documentation, though availability can vary by platform.

Which workloads are the best fit for Grok 4.3?+

Best-fit scenarios include complex multi-step reasoning, analysis of long documents and datasets, and reliable execution of multi-step agent workflows. Test representative inputs and define measurable acceptance criteria before production.

Why might a team select Grok 4.3 over a smaller or older model?+

Key strengths include configurable reasoning effort, strong handling of long context, and effective use of tools and function calls. This combination is especially useful for analysis of long documents and datasets.

What should be validated before relying on Grok 4.3?+

Consider another model when a simple request does not need extra reasoning effort, the workflow cannot include human review for important decisions, or the required deployment platform does not list this model. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.

What is the practical TokenHub setup guidance for Grok 4.3?+

In TokenHub, select the exact model identifier displayed for Grok 4.3, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the TokenHub page for the exact Grok identifier, available reasoning controls, tool access, supported inputs, and current beta or release status.

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