DALL·E 3
← Back to All AI Tools1. Should you try DALL·E 3? Overview
| What it is | Text-to-image model (OpenAI) |
| Country / HQ | San Francisco, USA |
| Best for | Prompt-accurate images with legible in-image text |
| Check before buying | Open ChatGPT (free or Plus) and ask for an image in plain language. |
| Editor rating | 4.2 / 5 |
| Pricing signal | Free tier + paid from $20/mo |
2. Features What it does
| Feature | What it does |
|---|---|
| Prompt adherence | Follows detailed, multi-part prompts more reliably than most models. |
| In-image text | Renders short, legible text inside images for mockups and signs. |
| Photorealistic output | Consistently clean, commercially usable imagery. |
| Conversational editing | Refine an image by describing changes in ChatGPT. |
| Provenance | C2PA metadata tags generated images for transparency. |
3. Pricing Pricing (2026-10, USD)
| Plan | Price / mo | Key limits & who it fits |
|---|---|---|
| ChatGPT Free | $0 | Oct 2026 Limited DALL-E 3 generations per day, via ChatGPT |
| ChatGPT Plus | $20/mo | Oct 2026 ~50 generations per 3 hours, plus all ChatGPT features |
| API (legacy) | Retired May 2026 | Oct 2026 Was $0.040 standard / $0.080 HD / $0.120 HD-wide per image |
Open ChatGPT (free or Plus) and ask for an image in plain language.
4. Integration Access & integrations
| Access type | Details |
|---|---|
| Generated | inside ChatGPT for free (limited) and on Plus. |
| Was | available via the OpenAI Images API; that endpoint is retired. |
| Also | reachable free via Microsoft Copilot (Bing Image Creator) and Azure OpenAI for enterprises. |
5. Reviews & Sources External reviews
| Source | Rating | What it says |
|---|---|---|
| AISO Tools | 4.2/5 | Best prompt accuracy; less artistic than Midjourney. |
| Editorial | Strong (legacy) | The convenient in-ChatGPT image tool; now superseded on API by GPT Image. |
| Community | Positive | Loved for prompt-following and text rendering. |
6. Best for / Not for Fit
| ✔ Suitable | ✘ Not suitable |
|---|---|
| • Casual ChatGPT users who want prompt-accurate images, and mockups needing in-image text. | • Production image pipelines that relied on the API – use the newer GPT Image models. |
7. Competitors How it compares
| Competitor | How it differs | Best for |
|---|---|---|
| Midjourney | Midjourney leads on artistic quality and style control. | Choose Midjourney for stylised, aesthetic images. |
| Stable Diffusion | Stable Diffusion is open-source and self-hostable. | Choose Stable Diffusion for full control and low cost at scale. |
| Adobe Firefly | Firefly offers IP indemnification and Creative Cloud integration. | Choose Firefly for commercially safe, editor-native images. |
| Ideogram | Ideogram is excellent at rendering text in images. | Choose Ideogram when legible typography is the priority. |
| Flux | Flux is a strong open-weight model family for realism. | Choose Flux for high-quality open-weight generation. |
| Leonardo.Ai | Leonardo offers style control and game-asset pipelines. | Choose Leonardo for concept and game art. |
| Google Imagen | Imagen is Google’s high-quality text-to-image model. | Choose Imagen when you are in the Google ecosystem. |
8. Summary Verdict
| Takeaway | DALL-E 3’s lasting strength is obedience: it follows a detailed prompt and renders legible in-image text better than almost anything else, which is why it remained the convenient choice inside ChatGPT. As a standalone API model it is now legacy – OpenAI retired it in favour of the GPT Image models – so keep using it for casual ChatGPT image work, but build new pipelines on the current models. |
| Who should pick it | Casual ChatGPT users who want prompt-accurate images, and mockups needing in-image text. |
| Who should skip it | Production image pipelines that relied on the API – use the newer GPT Image models. |
Event history
- 2025-02 Active — First-party, active; folded into ChatGPT imagegen Source
