Model comparison
GPT-Image-2 vs Reve 2.1
Compare GPT-Image-2 and Reve 2.1 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 Reve 2.1 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) |
|---|---|---|
| GPT-Image-2OpenAI | OpenAI | No reviewed rate |
| Reve 2.1Reve | Reve | 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.
A typography-aware image model for creating and editing polished visuals, now available through Reve's creative product rather than its discontinued direct API.
The original Reve API is closed. Do not copy its former price or specifications onto a third-party endpoint, and check the product plan's model-improvement opt-out before using confidential brand assets.
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 | Reve 2.1 |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | $0.006–$0.211 at 1024² on fal | Free, $7.99 Lite, or $19.99 Pro subscription |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | Up to about 4K / 8.29MP on fal | Up to native 4K / 16MP at launch |
| Core tasksWhether the model supports generation, editing, or both. | Generation and editing | Generation, editing, layout, and visual references |
| Reference imagesHow the model can use images to guide or edit an output. | High-fidelity image input | Image references and editing in the Reve product |
| Text & layoutProvider-documented positioning for typography and structured composition. | Designed for detailed text-heavy images | Designed for typography, layout, and prompt adherence |
| API accessDirect and notable third-party routes included in this guide. | OpenAI, fal | Original direct API closed; current access is the Reve product |
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
Reve says Free-plan content may be used for model improvement by default. Lite and Pro customers can opt out; verify the live account control before using confidential assets.
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. Reve 2.1: A typography-aware image model for creating and editing polished visuals, now available through Reve's creative product rather than its discontinued direct API.
Consider GPT-Image-2 when your priority is Text-heavy graphics and infographics. Consider Reve 2.1 when your priority is Images that include typography or deliberate 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.