Model comparison
GPT-Image-2 vs Grok Imagine Image 2.0
Compare GPT-Image-2 and Grok Imagine Image 2.0 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Model comparison
Compare GPT-Image-2 and Grok Imagine Image 2.0 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Example output: square 1,024 × 1,024 images. Prices depend on supported resolution and quality; edits and retries can cost extra.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Grok Imagine Image 2.0SpaceXAI | SpaceXAI | $0.60 |
| GPT-Image-2OpenAI | OpenAI | No reviewed rate |
Quick take
OpenAI's current image model for detailed generation and editing, especially complex prompts, text-heavy visuals, and high-fidelity source images.
Do not treat the lowest per-image price as typical: quality, resolution, input images, and thinking/token use all change the final bill.
SpaceXAI's current image model for creating and editing practical visuals, with an emphasis on following detailed instructions, typography, and consistent references.
The $0.04 headline is the lowest output setting. Higher resolution, Medium quality, and source images increase the cost of each request.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Image generation | GPT-Image-2 | Grok Imagine Image 2.0 |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | $0.006–$0.211 at 1024² on fal | $0.04–$0.08 / output image |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | Up to about 4K / 8.29MP on fal | 1K or 2K |
| Core tasksWhether the model supports generation, editing, or both. | Generation and editing | Generation and editing |
| Reference imagesHow the model can use images to guide or edit an output. | High-fidelity image input | Up to 5 source images |
| Text & layoutProvider-documented positioning for typography and structured composition. | Designed for detailed text-heavy images | Typography and structured-layout focus |
| API accessDirect and notable third-party routes included in this guide. | OpenAI, fal | SpaceXAI Imagine API |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
For direct OpenAI API use, API content is not used for training by default and standard retention controls apply. fal stores request input/output by default, but its no-store header can prevent payload storage; uploaded CDN files require separate handling.
Provider and API links
SpaceXAI says API inputs and outputs are not used for training without explicit permission. Default encrypted retention is 30 days; team-level zero data retention is available with feature tradeoffs.
Provider and API links
Frequently asked questions
GPT-Image-2: OpenAI's current image model for detailed generation and editing, especially complex prompts, text-heavy visuals, and high-fidelity source images. Grok Imagine Image 2.0: SpaceXAI's current image model for creating and editing practical visuals, with an emphasis on following detailed instructions, typography, and consistent references.
Consider GPT-Image-2 when your priority is Text-heavy graphics and infographics. Consider Grok Imagine Image 2.0 when your priority is Marketing visuals with text and layout. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Image generation category. It does not claim a universal winner or combine incompatible third-party benchmark scores.