Midjourney v4: What Does it Mean for Open AI's DALL-E 3?

Midjourney v4 is increasingly outperforming DALL·E 2 on image quality and prompt coherence, pushing OpenAI’s once-dominant text-to-image model into a “stepping stone” role rather than a long-term product. The practical implication is that creators looking for intricate, prompt-faithful results may find better outcomes in Midjourney’s newer system—especially given its unlimited-generation subscription model—while DALL·E 2’s strengths may shift toward specific workflows like editing and outpainting.

The transcript frames Midjourney v4 as an alpha model already delivering unusually detailed compositions and strong adherence to user prompts, with the community feed cited as evidence of consistently high-quality outputs. It also contrasts Midjourney’s capabilities with Google’s unreleased text-to-image model, Imogen, described as highly coherent and able to spell—something Midjourney still struggles with. Meanwhile, DALL·E 3 is positioned as uncertain: a public beta is expected via the AI Test Kitchen app, but the bigger question is whether OpenAI will keep iterating on image generation at all.

A central argument is that OpenAI’s mission is not to win a competitive race in text-to-image quality. OpenAI’s stated goal—building safe, beneficial AGI (artificial general intelligence) that benefits all humanity—suggests DALL·E 2 may have been developed primarily to advance broader AI research and demonstrate capabilities, not to remain the flagship product indefinitely. The transcript points to DALL·E 2’s rapid rollout timeline—research preview, safety and bias updates, a public beta, a major editor overhaul (including outpainting), public release, and then a public-beta DALL·E API—arguing that the product’s lifecycle looks like a completed arc rather than an open-ended commitment to constant upgrades.

That lifecycle matters because it enabled third parties to commercialize image generation through the DALL·E API, allowing other companies to embed DALL·E into products (from bots to websites). In that view, DALL·E 2’s “purpose” is already fulfilled: it helped spur competition and improved the ecosystem, indirectly accelerating better models across the industry, including Midjourney v4 and possibly Imogen. The transcript also notes that DALL·E 2’s search popularity appears to have declined over time, reinforcing the idea that OpenAI may not see ongoing image-generation dominance as essential.

The forecast is blunt: DALL·E 3 may not be coming, but a “DALL·E video” direction could be next. The transcript highlights Google’s Imogen work as a sign that text-to-video is the more exciting frontier, and suggests OpenAI could follow a similar path—using the same research momentum that produced DALL·E 2, but shifting toward video generation.

For now, DALL·E 2 still has a recommended niche. The transcript suggests using Midjourney for generation, then moving the result into DALL·E 2’s outpainting editor for refinement—treating DALL·E 2 less as the best generator and more as a powerful editing tool within a hybrid workflow.