Model comparison
Ideogram 4.0 vs MAI-Image-2.5 Pro
Compare Ideogram 4.0 and MAI-Image-2.5 Pro using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Model comparison
Compare Ideogram 4.0 and MAI-Image-2.5 Pro 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) |
|---|---|---|
| Ideogram 4.0Ideogram | Ideogram | No reviewed rate |
| MAI-Image-2.5 ProMicrosoft | Microsoft | No reviewed rate |
Quick take
A design-oriented image model with open weights, multilingual typography, structured layout control, editable elements, and simple per-image API tiers.
Generation, edit, hosted, and self-hosted routes can have different features and licensing obligations; validate the exact path you plan to use.
Microsoft's quality-focused image generation and editing model for Azure teams that want enterprise deployment controls inside Microsoft Foundry.
Microsoft's public pricing table does not expose one universal rate, and preview services can have tighter quotas or fewer enterprise controls than mature Azure products.
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 | Ideogram 4.0 | MAI-Image-2.5 Pro |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | $0.03 Turbo · $0.06 Default · $0.10 Quality | Azure account / offer pricing |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | 1K or 2K | Up to 1,048,576 pixels; PNG |
| Core tasksWhether the model supports generation, editing, or both. | Generation with text or structured prompts | Generation and image-to-image editing |
| Reference imagesHow the model can use images to guide or edit an output. | Check endpoint-specific edit support | Single JPEG or PNG edit input |
| Text & layoutProvider-documented positioning for typography and structured composition. | Multilingual text and precise layout focus | Improved text rendering and layout control |
| API accessDirect and notable third-party routes included in this guide. | Ideogram API, open weights, fal | Microsoft Foundry |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
The model page does not publish a complete retention or training-use commitment for every access route. Review Ideogram's current API agreement or your self-hosting controls.
Microsoft says Foundry Model prompts and outputs are not used to train foundation models without permission. Preview features may not support every storage or customer-managed-key control, so verify the deployed feature set.
Provider and API links
Frequently asked questions
Ideogram 4.0: A design-oriented image model with open weights, multilingual typography, structured layout control, editable elements, and simple per-image API tiers. MAI-Image-2.5 Pro: Microsoft's quality-focused image generation and editing model for Azure teams that want enterprise deployment controls inside Microsoft Foundry.
Consider Ideogram 4.0 when your priority is Posters, ads, and typography-led designs. Consider MAI-Image-2.5 Pro when your priority is Azure-based image applications. 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.