New measurements show H3 Max / H3 Max Turbo by fal, return finished video with synchronized audio in less time than the clips take to watch.
SAN FRANCISCO, CA, UNITED STATES, September 8, 2026 /EINPresswire.com/ -- fal today published measured generation times for H3 Max and H3 Max Turbo, its post-trained versions of the open-weights MiniMax H3 video model. Across nine configurations covering every resolution and clip length the models accept, both endpoints generate video faster than the video plays. H3 Max by fal is the fastest AI video generator in 2026!The figures are generation time, the inference value each endpoint reports on its own response, which is the model's work on the GPU. A caller's total wait adds queue time, prompt expansion and encoding on top. Measurements were taken on September 8, 2026 on text-to-video with prompt expansion left on its default setting.
At 768p, the resolution the models are tuned for:
- 5 seconds of video generates in 1.54 seconds on H3 Max Turbo and 2.46 seconds on H3 Max
- 10 seconds generates in 4.29 seconds on Turbo and 7.55 seconds on H3 Max
- 15 seconds generates in 8.44 seconds on Turbo and 15.17 seconds on H3 Max
At 480p, a 5-second clip generates in 0.44 seconds on Turbo and 0.75 seconds on H3 Max, roughly 11 times and 7 times faster than the clip plays. At 1080p, a 5-second clip takes 2.33 seconds on Turbo and 3.12 seconds on H3 Max. Turbo returned every one of the nine configurations faster than real time, and H3 Max did so in seven of nine.
Video Length | Quality | H3 Max Turbo by fal | H3 Max by fal
5 second clip | 480p | .44 seconds | .75 seconds
10 second clip | 480p | 1.00 seconds | 1.72 seconds
15 second clip | 480p | 1.89 seconds | 3.14 seconds
5 second clip | 768p | 1.54 seconds | 2.46 seconds
10 second clip | 768p | 4.29 seconds | 7.55 seconds
15 second clip | 768p | 8.44 seconds | 15.17 seconds
5 second clip | 1080p | 2.33 seconds | 3.12 seconds
10 second clip | 1080p | 6.81 seconds | 8.89 seconds
15 second clip | 1080p | 13.56 seconds | 17.63 seconds
Picture and audio are generated in the same pass. A default request returns a 5-second 768p clip at 1344 by 768 and 24 frames per second, with stereo audio in the same file, so dialogue, room tone, effects and music are described in the prompt rather than added in a second step.
fal attributes the speed to designing the model and the inference engine as one system rather than training first and serving later. On the model side, fal Research added new training data and used an in-house reinforcement learning framework to improve prompt adherence and visual quality, keeping optimizations such as lower precision and reduced sampling steps only where human preference scores held.
On quality, Artificial Analysis ranks H3 Max first among image-to-video models with audio output in its Image to Video Arena, at an Elo of 1200, ahead of the next model at 1192 and the base MiniMax H3 model at 1187. Those standings were read on September 8, 2026.
H3 Max is available now through fal's serverless API across six endpoints: text-to-video, image-to-video and reference-to-video on H3 Max, text-to-video and image-to-video on H3 Max Turbo, and H3 Max Director, a realtime model that holds a streaming session instead of answering a single request. Clips run from 5 to 15 seconds at 480p, 768p or 1080p, in aspect ratios from 21:9 to 9:16, with prompts up to 50,000 characters. Python and JavaScript SDKs are available, and the API can be called directly over HTTP.
Pricing is per second of output video with no minimums and no subscription. H3 Max lists at 0.05 US dollars per second at 480p, 0.08 at 768p and 0.16 at 1080p. H3 Max Turbo lists at 0.025, 0.04 and 0.08. Both are running at 75 percent off through September 14, 2026. Signed-in users get five free generations a day of up to 15 seconds each, on a rolling 24-hour reset.
H3 Max and H3 Max Turbo are available at fal.ai.
About fal
fal is a generative media platform that serves image, video and audio models through a serverless API, running them on infrastructure it builds and optimizes itself. Learn more at fal.ai.
Bennett Heyn
fal
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