On Oct 19 (UTC) fal released FLUX 3 Max, a video model built by fal Research with Black Forest Labs through post-training, reinforcement learning and inference optimization on top of the FLUX 3 foundation model. It handles text-to-video, image-to-video and keyframes, up to 20 seconds, at 720p or 1080p, with audio on by default. On Artificial Analysis's preliminary image-to-video arena it scores 1,139 Elo, level with Seedance 2.5 and within the confidence interval of leader MiniMax H3 (1,141), and fal says a 10-second clip takes about 12.45 seconds. A 75% launch discount runs until Nov 7, putting 720p at $0.0425 per second.
Key Takeaways
- ✓Artificial Analysis AA-Video-I2V v1.1 (preliminary): FLUX 3 Max at 1,139 Elo, level with Seedance 2.5 and just under MiniMax H3 at 1,141; "tied #1" rests on overlapping confidence intervals
- ✓Speed (fal-reported, 10-second 16:9 at 720p): FLUX 3 Max 12.45s, Gemini Omni Flash 1.1 47.37s, Seedance 2.5 277.80s; the press release quotes 10.95s instead
- ✓Versus the original FLUX 3: Elo up from 1,089 to 1,139 (+50) and a 10-second clip down from 126.44s to about 12s (11.5x per the press release, about 10x per the product page)
- ✓Pricing: promotional $0.0425/s at 720p and $0.0725/s at 1080p until Nov 7, then $0.17/s and $0.29/s, billed per output second
- ✓API options: 5-20 second duration, multiple aspect ratios, reasoning_level (low/high), generate_audio on by default; model IDs blackforestlabs/flux-3-max/*

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Background and the problem it targets
Video generation has struggled to deliver quality and speed together: high-quality models such as Seedance 2.5 and Wan 3.0 often need minutes for a 10-second clip, so creators draft on fast models and finish on slow ones. On Oct 19 fal released FLUX 3 Max to show that targeted post-training and inference optimization on an open foundation model can reach top-tier quality at close to real-time speed. Black Forest Labs CEO Robin Rombach said in the press release that FLUX 3 was built as a foundation for others to build on.
Architecture and how it works
FLUX 3 Max is not trained from scratch. fal Research took Black Forest Labs' FLUX 3 and applied post-training, reinforcement learning and inference-system optimization, aiming at visual fidelity, motion coherence and prompt adherence. Text-to-video and image-to-video share one post-trained model, with a keyframes mode as well. The API supports 5-20 second clips, 720p or 1080p, several aspect ratios, audio generation on by default, and a reasoning_level setting (low/high) for how much effort goes into interpreting the prompt. fal says it will keep post-training the model.
Benchmarks and measured results
The third-party figure comes from Artificial Analysis's image-to-video arena (AA-Video-I2V v1.1, preliminary): FLUX 3 Max at 1,139 Elo (4,868 votes per the press release), level with Seedance 2.5, with MiniMax H3 on top at 1,141; the "tied #1" claim rests on overlapping confidence intervals. Speed numbers are fal's own (vendor-reported): 12.45s for a 10-second 720p clip versus 47.37s for Gemini Omni Flash 1.1 and 277.80s for Seedance 2.5. The press release says 10.95s, which differs from the product page; this article uses the product page. Against the original FLUX 3, Elo rose 50 points, from 1,089 to 1,139.
Getting started
- Try it on the fal product page or model pages; API model IDs are blackforestlabs/flux-3-max/text-to-video and blackforestlabs/flux-3-max/image-to-video.
- Call it through official SDKs such as @fal-ai/client, billed per output second: until Nov 7, $0.0425/s at 720p and $0.0725/s at 1080p, then $0.17/s and $0.29/s.
- Set reasoning_level to low when iterating quickly on shots, and switch to fal's H3 Max on the same API to compare.
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