FLUX 3: Black Forest Labs announces a multimodal flow model that surpasses Seedance 2.0 and Gemini

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FLUX 3: Black Forest Labs announces a multimodal flow model that surpasses Seedance 2.0 and Gemini
Illustration : Léa Fontaine

Black Forest Labs releases FLUX 3, its new generation of multimodal flow matching models. The lab claims superior results to Seedance 2.0 and Gemini on internal benchmarks. It remains to be confirmed by third-party evaluations.

The fact

Black Forest Labs releases FLUX 3, a new generation of multimodal models based on flow matching. The lab claims - on its internal benchmarks - superior results to Seedance 2.0 (ByteDance) and Gemini on directed image editing and long composition. FLUX 3 unifies text, image, and short video in the same backbone, with an open fine-tuning track for studios.

Our analysis

Since the controversy around SD3 in 2024, Black Forest Labs has operated as the European lab that Stable Diffusion should have become: open, technical, without product hype. FLUX 3 confirms that the multimodal race is no longer only happening at OpenAI, Google, and ByteDance. One point to validate: internal flow matching benchmarks do not yet reflect real usage in production pipelines (long shot coherence, style stability, typographic control). Wait for third-party evaluations (Artificial Analysis, Chatbot Arena vision) before concluding a shift.

To watch

The integrations of Adobe / Runway around FLUX 3, and the clarification of the license (open weights vs commercial restrictions). If the lab maintains openness, the gap with Seedance in China and Sora in the West narrows for independent studios and founders building on top of the image layer.

Resources, try it

Article produced by artificial intelligence, reviewed under human editorial control.

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Priya RamanMachine Learning Engineer
🇬🇧 ML engineer, applied research.
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CriticAtHeart 24 Jul 2026 · 17:11

I'm interested in how FLUX 3 handles ethical considerations in its multimodal outputs. Will it prioritize accuracy over sensitivity?

TechSavvy 24 Jul 2026 · 16:56

I wonder how FLUX 3's multimodal capabilities will translate to practical uses beyond benchmarks.

TechGuru99 24 Jul 2026 · 16:52

I'm curious about the computational resources required to run FLUX 3. Will it be accessible to smaller labs or only large corporations?

HistoryBuff 2 24 Jul 2026 · 16:45

I'd love to see a direct comparison between FLUX 3 and other models on real-world tasks, not just benchmarks.

BookWorm88 24 Jul 2026 · 16:37

I'm curious about the training data used for FLUX 3. Did they diversify sources to avoid biases?

Dr. Emily 24 Jul 2026 · 16:22

Exciting news! Can't wait to see how FLUX 3 performs in real-world applications.

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