Grok 4.6

4.6 · Family: Grok

xAI's Grok-family LLM (released 12 Aug 2026) tuned for long-running agents and ambitious visual/interactive work; 500K-token context window.

✓ Active✓ Public accessLLMReasoning modelTool-using model📁 Grok

Context window

500K

tokens

Release date

12 August 2026

🏢SpaceXAIProducer

Access:APIHostedDeployment:☁ Cloud

Overview

Grok 4.6 is a Grok-family large language model from xAI, released on 12 August 2026. Compared with Grok 4.5 it emphasizes long-running agents and more ambitious interactive and visual work — it better sustains complex, multi-step tasks (research, analysis, codebase navigation) and produces stronger first passes on visual and interactive projects.

The model underwent extended supplemental training on curated model-generated data, high-quality engineering datasets and improved optimizer recipes; supervised fine-tuning trajectories were regenerated across reasoning, agent harnesses, and domains such as STEM and software engineering. Specialized training covered kernel optimization, web development and CAD environments.

Grok 4.6 provides a 500K-token context window, supports tool use, and is closed-weights — available via API (SpaceXAI API) and on Cursor, Grok Build, OpenRouter, Vercel and Cloudflare. On the Artificial Analysis Intelligence Index it scores 61, matching GPT-5.6 Sol.

Classification

LLMReasoning modelTool-using model

Family: Grok

Access & deployment

APIHosted

Cloud

Weights: Closed

Key parameters

📏 Context: 500K

✓ Tools

📥 Input: text

Technical specification

Context window

500K

tokens

License

Proprietary (xAI)

Hardware requirements

Closed model available only via xAI cloud/API; no downloadable weights for local deployment.

Features:✓ Tool use

Modalities

⬇ Input

text

⬆ Output

textcode

Capabilities and applications

Native model capabilities

Reasoning

The model's ability to reason logically and solve complex problems.

Category: reasoning

Multi-step reasoning

Carrying out multi-step chains of reasoning across long, complex tasks.

Category: reasoning

Coding

Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.

Category: coding

Multilingual

Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.

Category: language

Long context

Support for large context windows — tens to hundreds of thousands (or millions) of input tokens. Enables analysis of entire codebases, long documents, and many parallel conversations without losing earlier information. GPT-5.1 supports 400,000 tokens.

Category: language

Structured output

Producing data in structured formats such as JSON.

Category: structured_generation

Function Calling

Category: planning

Planning

Forming and executing action plans for complex tasks.

Category: planning