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Grok 4.6

ReasoningVisionCodeFunction CallingWeb Searchprivate
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Quick reference
Grok 4.6 — TLDR
  • 📏 500K-token context window for long documents and extended agent runs.
  • 🧠 Builds on Grok 4.5, focused on long-running agents and ambitious interactive work.
  • 🔧 Adjustable reasoning effort: low, medium, high, and xhigh.
  • 👁️ Multimodal input: text plus images, with vision-grounded reasoning.
  • 🎯 Function calling, structured outputs, and integrated web search.
  • 📚 Longer supplemental training run than 4.5, with improved optimizer and recipe.
  • 💬 API model name is grok-4.6 via xAI's Responses or Chat Completions endpoints.
  • 🏢 xAI's frontier text model for coding, agentic tasks, and knowledge work.
💰 Pricing
$2.27 / $6.80
per 1M · input / output
📏 Context
500K tokens
📅 On Venice since
Aug 10, 2026
7 days ago
Provider

xAI is an American artificial intelligence company and wholly owned subsidiary of SpaceX. The company develops AI systems under the Grok brand, spanning language models, image generation, and video synthesis. xAI has quickly established itself as a multimodal…

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23 models on Venice
7 text · 7 video · 4 image · 3 inpaint · 1 tts · 1 asr
Since Jan 29, 2026

About this model

Grok 4.6 is xAI's frontier text-and-vision reasoning model, positioned for coding, agentic workflows, and knowledge work. It accepts mixed text and image input, supports function calling and structured outputs, can call an integrated web-search tool, and exposes an adjustable reasoning-effort setting spanning low, medium, high, and xhigh so developers can trade latency against depth. Its 500K-token context window suits multi-document synthesis and long tool-use sessions.

Compared with its direct predecessor Grok 4.5, xAI describes Grok 4.6 as building on that model with "a particular focus on long-running agents and more ambitious interactive and visual work." The lab reports that Grok 4.6 went through a longer supplemental training run than Grok 4.5, using curated model-generated data for reasoning and advanced technical concepts, high-quality engineering data, and an improved optimizer and training recipe. xAI also says it used Grok 4.5 itself to regenerate supervised fine-tuning trajectories across reasoning efforts, agent harnesses, and domains such as STEM, software engineering, and knowledge work, filtering problematic traces with model-based checks. In xAI's own testing, the model is described as especially strong at turning a broad product idea into a working first version, researching unfamiliar domains and refining results over several feedback rounds.

Within the wider Grok line, it succeeds Grok 4.3 and the Grok 4.20 generation, including the parallel-agent variant Grok 4.20 Multi-Agent, and complements agent-oriented Grok Build 0.1 plus xAI's separate visual models such as Grok Imagine 2.0. Note that xAI had not published a full benchmark table alongside the model's technical documentation at the time of writing, so no scores are quoted here.

This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 4d ago