DALL-E 3 vs Flux by Black Forest Labs
A detailed comparison to help you choose between DALL-E 3 and Flux by Black Forest Labs.
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Verdict: Flux by Black Forest Labs wins
Flux by Black Forest Labs scores 4.3/5, edging out DALL-E 3 at 2.2/5. Developers and product teams embedding high-quality image generation and editing into their own applications via API or licensed weights.
DALL-E 3 OpenAI's image generation built into ChatGPT | Flux by Black Forest Labs Next-generation open image generation model | |
|---|---|---|
| Rating | 2.2 (1 review) | 4.3 (1 review) |
| Pricing Model | usage-based | usage-based |
| Starting Price | Pricing varies | Pricing varies |
| Best For | Nobody should buy this today — existing DALL·E 3 users should migrate to the GPT Image models in ChatGPT or the OpenAI API. | Developers and product teams embedding high-quality image generation and editing into their own applications via API or licensed weights. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api accessfree tier | open sourceapi accessbyok |
| Visit DALL-E 3 → | Visit Flux by Black Forest Labs → |
DALL-E 3
Pros
- + Historical: the strongest prompt adherence and readable in-image text of its release era (the reason the name is remembered)
- + Historical: per-image API billing was simple to forecast — US$0.040 per Standard 1024x1024, no charge on content-policy rejections
- + ChatGPT integration made conversational iteration genuinely fast for concepting
- + Successor GPT Image models are cheaper per image at the low end and add editing plus transparent backgrounds
- + Deprecation was communicated with dates and a concrete migration path in OpenAI's changelog
Cons
- - Discontinued: removed from the API on May 12, 2026 — legacy dall-e-3 calls now fail
- - The DALL·E GPT in ChatGPT was retired on August 30, 2026; ChatGPT Images serves generation now
- - When live it was slow (8-20s per image), n=1 only, with no editing endpoint and no transparent backgrounds
- - Conservative content filter rejected borderline prompts inconsistently between sessions
- - 1792px maximum output ceiling looks small against current 2K/4MP competitors
Flux by Black Forest Labs
Pros
- + FLUX.2 [max] honored a layout sketch, product shot and palette reference simultaneously — the strongest multi-reference control I tested
- + Prompt adherence on long, object-heavy prompts leads the category in my experience
- + Real per-image economics: FLUX 3 Image at US$0.048/image, FLUX.1 [dev] at US$0.025 on BFL's own API
- + Open-weight [dev] and [klein] models with fine-tuning and LoRA rights on paid license tiers
- + Founder pedigree (the latent diffusion authors) plus a US$3.25B valuation and deployments across Adobe, Canva and Leonardo
Cons
- - No first-party consumer UI — real usage happens through third-party wrappers of varying quality
- - Open weights cannot be deployed commercially without a paid BFL license tier (Builder and up)
- - Per-megapixel billing rounds resolution up, and ten reference images on [max] add US$0.30 before generation
- - Long passages of in-image text still garble about a word in eight; Ideogram is materially better for text
- - Model releases run fast (FLUX.1, FLUX.2, FLUX 3 in under two years) — integrations need version pinning
Frequently Asked Questions
Which is better, DALL-E 3 or Flux by Black Forest Labs?▼
Flux by Black Forest Labs scores higher at 4.3/5 vs 2.2/5 for DALL-E 3, making it the better-rated option in our comparison.
What is the difference between DALL-E 3 and Flux by Black Forest Labs?▼
DALL-E 3: DALL-E 3 is OpenAI's text-to-image model, available inside ChatGPT and through the OpenAI API. Flux by Black Forest Labs: Flux is a family of AI image generation and editing models from Black Forest Labs, available through an API for developers and businesses that need high-quality images from text prompts.
Is DALL-E 3 or Flux by Black Forest Labs more affordable?▼
DALL-E 3 starts at €0/mo, Flux by Black Forest Labs starts at €0/mo. Check the comparison table above for current pricing.
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