DALL-E 3

Overview

DALL·E 3 is OpenAI’s 2023 flagship text-to-image model: the third major generation after the 2021 research demo and 2022’s DALL·E 2. It is the version most people still mean when they say “DALL·E”—the model that shipped inside ChatGPT (especially ChatGPT Plus), powered Bing Image Creator / Copilot Creative for a long stretch, and was available as the dall-e-3 model on OpenAI’s Images API with simple per-image pricing.

As of mid-2026, DALL·E 3 is a historical product in production systems. OpenAI notified developers on 14 November 2025 that DALL·E model snapshots would be removed from the API on 12 May 2026. Official deprecations docs list replacements as gpt-image-2, gpt-image-1, or gpt-image-1-mini. Consumer ChatGPT had already moved image generation onto the GPT Image line (including GPT Image 1 / 1.5 and later flagship gpt-image-2) well before that API sunset. This profile documents what DALL·E 3 was, what it cost, where it still shows up in culture and tutorials, and what to use instead on the live OpenAI stack.

Maker: OpenAI. Primary surfaces during its peak: chatgpt.com, the OpenAI Images API (v1/images/generations), Microsoft Copilot/Bing creative tools, and Azure OpenAI deployments that exposed DALL·E 3 for enterprises. Official product pages and research write-ups live under openai.com (e.g. the DALL·E 3 index post and Help Center articles on creating images in ChatGPT).

Key features

• Strong natural-language prompt following — DALL·E 3’s defining leap over DALL·E 2 was following long, multi-clause prompts with fewer “ignored half the sentence” failures. ChatGPT rewrote user requests into richer image prompts automatically; the API also exposed a revised-prompt style behavior depending on surface. This made it the default non-artist tool for marketing, product concepts, and educational diagrams.
• Native ChatGPT integration — The killer product was not a Discord bot: describe an image in chat, get a generation, then iterate (“same scene, dusk lighting,” “add a logo-safe empty corner”). That conversational loop is what GPT Image still optimizes for via multi-turn Responses API tools and ChatGPT’s image UI.
• Resolutions and quality tiers (API era) — Documented DALL·E 3 sizes centered on 1024×1024, 1024×1792, and 1792×1024 (portrait/landscape naming varies slightly by docs era; model cards also list 1024×1536 / 1536×1024 style pairs). Quality modes: standard and HD, with HD roughly doubling per-image cost at the same footprint.
• Simple per-image API billing — Unlike tokenized GPT Image pricing, DALL·E 3 billed a flat fee per image at a size/quality pair. That predictability is exactly why many API developers protested the deprecation: high-quality GPT Image jobs can cost more than DALL·E 3 HD when prompts, references, and quality=high drive token counts.
• Safety defaults that shaped culture — DALL·E 3 was designed to refuse many public-figure deepfake-style requests and declined “in the style of a living artist” style cloning. Aggressive filters reduced abuse surface area but also produced false positives that Reddit and the OpenAI forum still complain about on successor models.
• Commercial-use messaging (terms-bound) — OpenAI’s consumer DALL·E 3 materials stated you could use generated images commercially subject to Terms and Usage Policies. That is not the same as guaranteed copyrightability of pure AI outputs in every jurisdiction, and enterprise training/data defaults differ on Business/Enterprise plans.
• Ecosystem distribution — Beyond ChatGPT, Microsoft shipped DALL·E-branded or DALL·E-backed image creation in Bing/Copilot; Azure OpenAI offered enterprise procurement and networking. Tutorials, Zapier/Make recipes, and no-code builders still mention DALL·E 3 years after GPT Image took the model slot.
• What DALL·E 3 did not do well — Consistent character IP across many shots, Midjourney-level “portfolio taste,” open weights/LoRAs, offline/air-gapped runs, and fine-grained compositional control (seeds, multi-reference stacks, regional edit masks) that GPT Image and third-party tools later expanded.
• Successor stack (required context) — Live OpenAI image generation uses GPT Image models via the Image API (generations + edits) and the Responses API image tool (multi-turn generate/edit, partial streaming, masks, multi-image references). Flagship examples in mid-2026 docs use gpt-image-2; older gpt-image-1 / gpt-image-1.5 / gpt-image-1-mini remain in pricing tables with their own sunset timelines (e.g. some GPT Image aliases scheduled for later 2026 shutdowns per deprecations).

Pricing

There are three price stories: (1) historical DALL·E 3 API per-image fees, (2) ChatGPT subscriptions that bundle image generation with plan limits, and (3) current GPT Image API token pricing. Always confirm live OpenAI pricing and ChatGPT plan pages before budgeting—rates and plan names shift.

DALL·E 3 API (legacy; shut down 12 May 2026)

Official model-card style pricing while available:

Quality	1024×1024	1024×1536 / 1536×1024 class	Notes
Standard	$0.040	$0.080	Flat fee per image; prompt length did not change price.
HD	$0.080	$0.120	Higher fidelity / detail path on the same size family.

DALL·E 2 was cheaper at similar sizes (often ~$0.020 for 1024×1024 class) and was removed on the same May 12, 2026 date. After shutdown, dall-e-3 / dall-e-2 model IDs are not valid on the OpenAI API.

Documented image rate-limit bands for DALL·E 3 (tier-dependent) ran from hundreds to thousands of images per minute on higher usage tiers; Free tier did not support the model the same way paid API tiers did.

ChatGPT image generation (subscription path)

ChatGPT plans (Free, Go, Plus, Pro, Business, Enterprise) all list image generation with different limits and quality. Approximate individual list prices commonly published in 2025–2026:

Plan	Typical list price	Image notes
Free	$0	Limited / slower image generation; fine for occasional one-offs.
Go	Often ~$8/mo (region/promo dependent)	More image creation than Free; still capped.
Plus	~$20/mo	Everyday creative floor; expanded / more accurate image creation. Community reports historically cite rolling windows on the order of ~40–50 prompts per 3 hours (roughly up to ~200/day if paced)—OpenAI does not always publish a single universal number, and hidden monthly caps have been reported on the forum.
Pro	Historically ~$100–$200/mo depending on packaging	Marketing emphasizes unlimited/faster image creation subject to abuse guardrails; overkill unless you generate all day.
Business / Enterprise	Business often ~$25–$30/user/mo; Enterprise custom	Admin, SSO, and org data defaults; image gen for teams with higher operational limits.

ChatGPT amortizes image cost into the subscription. It is not a bulk stock-image farm: hit rate limits and you wait or upgrade. API remains the right path for automated production volumes.

GPT Image API (current replacement stack)

Official pricing is per 1M tokens (text + image modalities). Mid-2026 developer pricing (standard tier; batch is discounted ~50% on many rows):

Model	Image input	Cached image input	Image output	Text input (approx.)
gpt-image-2	$8.00	$2.00	$30.00	$5.00 / $1.25 cached
gpt-image-1.5	$8.00	$2.00	$32.00	$5.00 / $1.25 cached
gpt-image-1-mini	$2.50	$0.25	$8.00	$2.00 / $0.20 cached

Official per-image output ballparks from the image generation guide (excluding prompt/reference input tokens):

Model	Quality	1024×1024	1024×1536	1536×1024
GPT Image 2	Low	$0.006	$0.005	$0.005
	Medium	$0.053	$0.041	$0.041
	High	$0.211	$0.165	$0.165
GPT Image 1.5	Low	$0.009	$0.013	$0.013
	Medium	$0.034	$0.050	$0.050
	High	$0.133	$0.200	$0.200
GPT Image 1	Low	$0.011	$0.016	$0.016
	Medium	$0.042	$0.063	$0.063
	High	$0.167	$0.250	$0.250
GPT Image 1 Mini	Low	$0.005	$0.006	$0.006
	Medium	$0.011	$0.015	$0.015
	High	$0.036	$0.052	$0.052

Edits with multiple reference images add image input tokens; high-fidelity multi-image jobs can land well above a single DALL·E 3 HD fee. Streaming partial images can add extra image output tokens (docs cite ~100 image output tokens per partial). Use the official calculator in the image generation guide for project estimates.

Limits & gotchas

• API model IDs are dead after 12 May 2026 — Any integration still calling dall-e-3 or dall-e-2 fails. Official replacements: GPT Image family. Update SDKs, env defaults, and third-party no-code steps.
• ChatGPT branding lag — Users and UI copy may still say “DALL·E” colloquially while the backend is GPT Image. Quality, editing, and refusal behavior differ from classic DALL·E 3.
• Rate limits and opaque caps — Plus rolling windows and occasional undocumented monthly caps frustrate power users (OpenAI community threads document abrupt cutoffs without counters). Free tier is not a production path.
• Moderation friction — Celebrity, medical, political, and child-adjacent content often refuse. Living-artist style bans remain part of the cultural expectation of OpenAI image tools.
• Aesthetic vs adherence tradeoff — Community side-by-sides still often give Midjourney the “pretty” win and OpenAI the “did what I asked / readable short text” win. DALL·E 3 popularized that split; GPT Image narrows but does not erase it.
• Token cost surprises — GPT Image high quality + large canvases + multi-reference edits is a different economic model than DALL·E 3’s flat menu. Log usage from day one.
• No open weights — You cannot self-host DALL·E 3 or GPT Image. Air-gapped or fully private training-data pipelines need Flux/SD or vendor private endpoints (e.g. Azure with appropriate contracts).
• Provenance ≠ legal free pass — C2PA Content Credentials and related watermarking (including SynthID-class work OpenAI has described for AI media) help detection; metadata can still be stripped. Copyright of pure AI images remains jurisdiction-dependent.
• Further GPT Image sunsets — Deprecations pages already schedule some GPT Image aliases (e.g. older 1.x / mini / chatgpt-image-latest paths) for later 2026 removal in favor of gpt-image-2. Pin versions deliberately and watch the deprecations feed.
• Microsoft / Azure lag — Enterprise still on DALL·E 3 Azure deployments need their own migration calendars; do not assume ChatGPT and Azure move in lockstep.

Community sentiment

Across r/ChatGPT, r/midjourney, r/OpenAI, the OpenAI Developer Community, and Hacker News, DALL·E 3 sits in a clear narrative arc:

• 2023 launch praise — HN and Reddit celebrated prompt following and ChatGPT distribution after years of Midjourney/Stable Diffusion owning mindshare post–DALL·E 2.
• Working artist default for non-artists — Marketers and PMs loved “type English, get usable asset.” Artists often stayed on Midjourney for look and community style codes.
• 2025–2026 deprecation grief — Threads titled along the lines of “OpenAI is making a huge mistake by deprecating DALL·E 3” and “please reconsider retiring DALL·E 3” argue that GPT Image is stronger at some tasks but loses a distinct look and the simple $0.04–$0.12 price table. Other developers welcome multi-reference edits and text quality even when high-quality edits cost more.
• Limits rage on ChatGPT — Plus users still post when rolling windows or monthly caps cut creative sessions mid-project; Pro is marketed as the high-volume image path under abuse rules.
• Comparison culture — Side-by-sides with Midjourney V7/V8, Flux, Ideogram, and Google Imagen remain the main decision content. Consensus in 2026 creator threads: OpenAI for prompt accuracy and chat iteration; Midjourney for art direction; open models for control and cost at scale.

Who should use it

• Teams with legacy “DALL·E 3” requirements — Translate RFPs and SOWs into GPT Image + ChatGPT deliverables; document the May 2026 API sunset so stakeholders stop asking for dead model IDs.
• Product, growth, and content teams already on ChatGPT who need ad variants, social stills, and concept art without learning Discord parameters.
• Developers who want an official Images/Responses API, SDKs, Azure procurement, and clear (if tokenized) billing—now via GPT Image, not dall-e-3.
• Educators and generalists who value Free/Plus ease over art-direction depth.
• Not ideal for: pure fine-art directors chasing Midjourney aesthetics; offline/local-only pipelines; unrestricted NSFW or living-artist style cloning; ultra-low-cost bulk at high quality without mini/low settings; anyone still hoping the dall-e-3 API ID returns.

Alternatives

• DALL·E (brand / GPT Image stack) — Parent brand profile covering the full OpenAI image line.
• ChatGPT — Where most people generate OpenAI images today; subscription limits apply.
• Midjourney — Taste-first stills, strong style culture, subscription GPU minutes; no official bulk public API.
• Stable Diffusion / Flux hosts — Local or hosted open weights, LoRAs, full pipeline control.
• Gemini — Google multimodal free/cheap path; Imagen on Vertex for cloud enterprise.
• Canva / Canva Magic Studio — Template + brand-kit workflows for marketers.
• Adobe Photoshop / Firefly — Generative fill inside PSD pipelines with Adobe commercial framing.
• Runway / Sora — When the deliverable is video rather than stills (note separate product/API timelines).
• Ideogram — Often preferred when poster text and logos are the bottleneck.
• Leonardo AI — Asset-oriented suites with model menus and canvas tools.

Verdict

DALL·E 3 was the model that made OpenAI image generation a default consumer habit: excellent prompt following, ChatGPT-native iteration, and a dead-simple API price list from about $0.04 (standard square) to $0.12 (HD wide/tall). In mid-2026 it is retired from the OpenAI API (shutdown 12 May 2026, announced 14 November 2025) and succeeded in product by GPT Image models—currently led by gpt-image-2 with cheaper mini/low tiers for volume.

Bottom line: Keep DALL·E 3 in your mental history and search index, but ship on GPT Image (or a specialist alternative). If your requirement is “what DALL·E 3 was good at”—literal prompts, short text, chat edits, official API—OpenAI’s current image stack is the direct path. If your requirement is “what Midjourney/Flux are good at”—distinctive art direction or local control—do not force the DALL·E brand to be something it never was.