grok-2-image-1212
Last Updated on: Sep 17, 2025
grok-2-image-1212
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AI Photo & Image Generator
AI Image Recognition
AI Document Extraction
What is grok-2-image-1212?
Grok 2 Image 1212 (also known as grok-2-image-1212) is xAI’s December 2024 release of their unified image generation and understanding model. Built on Grok 2, it combines Aurora-powered photorealistic image creation with strong multimodal comprehension—handling image editing, vision QA, chart interpretation, and document analysis—within a single API and 32,768-token context.
Who can use grok-2-image-1212 & how?
  • Developers & Engineers: Create apps for image Q&A, form parsing, vision-assisted workflows, image editing and generation.
  • Designers & Creators: Generate photorealistic visuals, memes, or modify existing images using Aurora instructions.
  • Analysts & Educators: Use images for math solutions, diagram explanations, chart interpretation, and captioning.
  • Enterprises & Automation Teams: Automate OCR, visual report analysis, UX content creation, and internal document workflows.
  • General Users (Premium+ on X): Request or edit images directly in chat using Aurora and Grok’s API features.

How to Use Grok 2 Image 1212?
  • Select Model: Use `grok-2-image-1212` (or the alias `grok-2-image-latest`) via xAI’s enterprise API—including X, standalone apps, or cloud integrations.
  • Submit Multimodal Prompt: Send text prompts and/or images (as base64 or URL) within a 32K-token context.
  • Generate or Edit Images: Use Aurora to create new images or modify uploaded ones with textual instructions.
  • Understand Visual Content: Ask about visuals—object labels, chart insights, or detailed captioning.
  • Monitor Usage & Cost: Pricing is $2 per million input tokens and $10 per million output tokens; image generation also charged at ~$0.07 per image.
What's so unique or special about grok-2-image-1212?
  • Unified Vision Pipeline: Single model handles image creation, editing, and comprehension.
  • Aurora Engine: xAI’s autoregressive MoE model delivers photorealistic visuals with instruction-driven precision.
  • High Vision Accuracy: Strong performance in document QA and visual math tasks.
  • API-Ready & Developer-Friendly: Works via OpenAI-compatible API; integrates into X apps, cloud, and backend systems.
  • Multimodal Within Limits: Supports mixed media prompts up to 32K tokens—ideal for mid-length documents and images.
Things We Like
  • All-in-one vision model for generation and understanding
  • Photorealism with Aurora and editing capabilities
  • Strong performance on visual QA benchmarks
  • Developers can integrate in one API call
  • Reasonably priced with predictable token/image costs
Things We Don't Like
  • Context capped at 32K tokens—limits long-document handling
  • Aurora is permissive—may generate controversial or misleading content
  • Higher per-image fees may deter high-volume usage
Photos & Videos
Screenshot 1
Pricing
Freemium

Free Tier

$ 0.00

Limited access to Thinking
Limited access to DeepSearch
Limited access to DeeperSearch

Super Grok

$30/month

More Grok 3 - 100 Queries / 2h
More Aurora Images - 100 Images / 2h
Even Better Memory - 128K Context Window
Extended access to Thinking - 30 Queries / 2h
Extended access to DeepSearch - 30 Queries / 2h
Extended access to DeeperSearch - 10 Queries / 2h

Per Image

$0.07 per image

Each Generated Image $0.07
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Popular Mention

FAQs

A merged image-understanding and generation model featuring Aurora and vision comprehension, released December 2024.
It uses Aurora—an autoregressive mixture-of-experts trained on interleaved image‑text data—for photorealistic and instruction-driven image creation.
Yes—upload an image and instruct changes like style edits, element addition, or transformations.
Up to 32,768 tokens for combined multimodal prompts.
Use model ID grok-2-image-1212 (alias grok-2-image-latest) via xAI’s API, X Premium+, or supported cloud endpoints.

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This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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