- 🏢 Black Forest Labs' newest generation, succeeding the FLUX.2 image family
- 🆕 Released October 2026 as a text-to-image endpoint
- 🎯 Positioned for photorealism, prompt fidelity and complex scene composition
- 🌐 Per BFL, Flux 3 is one multimodal model spanning image and video
- 📏 FLUX.2 predecessors generate photorealistic images up to 4 megapixels
- 🔧 Sibling editing and video variants share the same Flux 3 generation
- 👁️ Video side covers keyframe control, clip extension, prompt-based editing
- ⚡ BFL lists video output resolutions ranging from 720p to 4K
Black Forest Labs is a generative AI company based in Freiburg im Breisgau, Germany, founded by former members of Stability AI. The lab is best known for developing the Flux family of text-to-image models, which generate images from natural language prompts and have quickly…
Explore 6 more models by Flux (text-to-image model) →Flux 3 is the image-generation entry point to Black Forest Labs' third-generation FLUX family, served here as a text-to-image model. BFL describes Flux 3 as a single multimodal model rather than a set of separate tools, covering text-to-image alongside video generation, keyframe control, clip extension and prompt-based video editing, with output resolutions from 720p to 4K on the video side.
Compared with its same-family predecessors Flux 2 Pro and Flux 2 Max, the generational shift is one of scope. The FLUX.2 models were image-only systems, generating photorealistic images at up to 4 megapixels with support for reference-image conditioning. Flux 3 folds image and video generation into one model family instead, per BFL's own description.
Within this catalog, Flux 3 sits alongside Flux 3 image editing for inpainting and instruction-based edits, and the video siblings Flux 3 text-to-video, Flux 3 image-to-video and Flux 3 First Last Frame. An editing counterpart to the previous generation, Flux 2 Max Edit, remains available for comparison.
No independently verified benchmark figures for Flux 3 image quality are available at the time of writing, so capability descriptions here should be read as vendor-described rather than measured. Users evaluating the model are best served by direct side-by-side prompting against the FLUX.2 entries in this catalog.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Flux 3 · Organic sellers
| Seller | Health | Rep↓ | Sales | Images | Routing | $ / img | Save |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $0.72 | 3 | #2 | $0.2401 | — |
| PawFlor-SI-Gateway ⚡ 0x70bc…8261 | — | 0.97 | $0.00 | — | gated | — | — |
| Venice.ai Proxy 0x1f22…18c9 | failingupstream error · 3.4 h | 86.84 | $0.70 | 11 | #1 | $0.066 | −45% |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.