Model comparison
GPT-Image-2.5 Flare vs Grok Imagine Image 2.0
Compare GPT-Image-2.5 Flare and Grok Imagine Image 2.0 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Model comparison
Compare GPT-Image-2.5 Flare and Grok Imagine Image 2.0 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
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 | Pricing & comparisons |
|---|---|---|
| Grok Imagine Image 2.0SpaceXAI | SpaceXAI | $0.60 |
| GPT-Image-2.5 FlareOpenAI | OpenAI | $5 text input · $8 image input · $30 image output / 1M tokens |
Quick take
OpenAI's speed-first GPT Image 2.5 model for everyday generation and editing, positioned at GPT Image 2-level image quality with lower latency.
Flare's speed positioning is a provider claim, not a fixed latency guarantee. Run repeated tests with the same prompt, references, dimensions, and quality before moving production traffic.
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-2.5 Flare | Grok Imagine Image 2.0 |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | OpenAI: $5 text input · $8 image input · $30 image output / 1M tokens | $0.04–$0.08 / output image |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | Up to 3,840px per edge / 8.29MP | 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. | Image inputs with improved subject preservation | Up to 5 source images |
| Text & layoutProvider-documented positioning for typography and structured composition. | Exact-text and structured-layout workflows | Typography and structured-layout focus |
| API accessDirect and notable third-party routes included in this guide. | OpenAI Images API, Responses tool | 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.
OpenAI says direct API inputs and outputs are not used for model training by default. Standard abuse-monitoring retention and organization-specific data controls still apply.
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-2.5 Flare: OpenAI's speed-first GPT Image 2.5 model for everyday generation and editing, positioned at GPT Image 2-level image quality with lower latency. 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-2.5 Flare when your priority is Fast everyday image generation. 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.