OpenAI launched ChatGPT Images 2.0 on April 21 and it is the first image generator that reasons through what it is making before it makes it. On the other side, xAI’s Grok Imagine 1.0, which saw a massive foundational upgrade in February 2026 has been running at a flat $0.02 per image through its API, roughly one-tenth the price of ChatGPT at full quality. 

This GPT Image 2 model release comes as OpenAI is retiring DALL-E 2 and DALL-E 3 on May 12, 2026, giving anyone still using either through the API three weeks to move on.

Here is what each tool does well, where each one breaks, and which one to pick based on what you are actually building.

/1. Pricing

ChatGPT Images 2.0 uses tokenised billing. Text tokens run $5 input and $10 output per million. Image tokens cost $8 input and $30 output per million. At 1024x1024 high quality, that comes to roughly $0.21 per image. Resolution and quality settings move that number, and thinking mode adds cost on top because of the extra reasoning tokens it uses.

Grok Imagine charges $0.02 per image for the standard model and $0.07 for the pro version. No resolution tiers, no quality multipliers, no token math to do. Generate ten thousand images from ChatGPT at high quality and the bill lands around $2,100. The same job through Grok Imagine standard costs $200.

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Verdict- Grok wins. At roughly ten times cheaper per image at high quality, this is a cost difference the moment any volume is involved.

/2. Text rendering

ChatGPT Images 2.0 fixed the problem where English worked fine but other languages broke. The GPT Image 2 model now handles Japanese, Korean, Chinese, Hindi, and Bengali text that flows as part of the design instead of random characters pretending to be words. OpenAI built this specifically so you can generate localized marketing materials that don’t look like AI trash.

Grok Imagine can place text inside images but xAI has not published accuracy data or made any specific claims about text rendering improvements. It handles basic prompts, though it is not positioned as a text-in-image solution.

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Verdict- ChatGPT wins. If the image needs readable words inside it, Grok is not the right tool right now.

/3. Speed and volume

Grok Imagine supports 300 requests per minute through the API. That throughput is production-ready for apps generating at scale. Prompt in, image out, no reasoning delays slowing things down.

ChatGPT Images 2.0 with thinking mode takes longer because the model reasons through your task first, searches the web for current information, and checks its own output before delivering. Standard mode runs faster but OpenAI hasn’t published rate limits yet.

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Verdict- Grok wins on throughput. A published rate limit you can plan around beats an unpublished one for anyone building at scale. 

/4. Multiple images per request

ChatGPT Images 2.0 generates up to eight images from a single prompt in thinking mode and keeps characters and objects visually consistent across the full set. Branded social graphic series, multi-panel layouts, image families that need to look like they belong together, this is where that matters.

Grok Imagine handles batch requests but xAI has not published anything about whether characters and objects stay consistent across images in the same batch.

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Verdict- ChatGPT wins for connected image sets. Grok works fine for unrelated variations, but anything requiring visual continuity across a batch belongs on ChatGPT.

/5. Aspect ratios

ChatGPT Images 2.0 supports ratios from 3:1 (wide banners) down to 1:3 (tall posters). You can request specific ratios in your prompt or regenerate any image in new dimensions. Covers presentation slides, mobile screens, social graphics, most standard formats.

Grok Imagine offers five preset ratios: square (1:1), two portrait options (3:4 and 9:16), and two landscape options (4:3 and 16:9). These cover the standard social and content formats.

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Verdict- ChatGPT is more flexible. For standard social posts and presentation slides, Grok's five presets do the job. Anything outside those formats needs ChatGPT.

/6. Intelligence and reasoning

ChatGPT Images 2.0 with thinking mode searches the web before generating, plans the image structure, and checks its output before finishing. This is restricted to Plus, Pro, and Business subscribers. Free users get the standard model without the reasoning layer.

Grok Imagine on April 3 introduced a "Quality Mode" that strictly follows your prompt and produces much higher visual realism, but it does not reason. It generates exactly what you ask for without planning ahead, fact-checking, or pulling in live information from the web. 

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Verdict- ChatGPT wins when the output needs to be accurate. Factually correct diagrams, precisely structured layouts, anything where wrong is not an option belongs in thinking mode.

/7. Knowledge cutoff

ChatGPT Images 2.0 has a knowledge cutoff of December 2025. Thinking mode's web search covers anything more recent, which stops outdated information from showing up in the output.

Grok Imagine has no web search capability. Anything requiring knowledge past its training date has no way to get filled in except you propt it.

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Verdict- ChatGPT wins on recency. If what you are generating depends on current information

Bottom Line

ChatGPT Images 2.0 is the right AI image generator when the output needs to be correct, readable, and polished. Posters, infographics, branded image sets, slides, anything with text inside the image that actually needs to be read. The thinking layer costs more and takes longer. For the right jobs, it earns both.

Grok Imagine is built for volume. At $0.02 per image with 300 requests per minute with clear tokens pricing, it is the most cost-efficient production-quality image API available right now. 

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