Pick a video model by inputs, length, audio and price

Use models_list to find video models that take an image as input. For each candidate, tell me what it takes, the lengths and resolutions it makes and whether it makes sound. Include Seedance 2.5 (model_bytedance-seedance-2-5), Wan 3.0 (model_alibaba-wan-3-0), Kling V4 I2V, FLUX.3 Max I2V and Minimax H3 Fast (find their ids with models_list). Don't run anything yet.

Run each test on Seedance 2.5 and Kling V4 I2V, with Wan 3.0 on the first two tests and FLUX.3 Max I2V on the robot, plus Minimax H3 Fast at 768P since it has no 720p. Same start image, the prompt word for word, 720p, the same duration where the models allow it (read model_schema_get for each model's parameter names). Quote the cost of every run with a dry run first and wait for my go.

The face, prompt word for word:
He slowly turns his head toward the camera and looks straight into the lens, takes a breath, and his eyes narrow slightly into a quiet, determined expression. The wind lifts his hair and the edge of his hood; behind him the red banners ripple and the mist drifts through the ring gate. Slow push-in from a medium close-up to a close-up. Real-time pace. Sound: steady mountain wind, banners flapping. No music, no speech.

The street, prompt word for word:
Time-lapse. The woman in the camel coat stands perfectly still with her eyes closed while the crowd streams around her in fast blurred streaks, umbrellas flowing past; the blue-hour sky darkens into night, more shop lights come on, and headlights streak past behind. Locked-off static camera; the woman stays sharp and almost motionless, only her scarf moves slightly. Sound: muffled city ambience, light rain, distant traffic. No music, no speech.

The robot, prompt word for word:
The little brass robot grips the big iron gear with both hands and pushes it; the gear creaks and slowly begins to turn, the other wheels and the pendulum start moving, and dust shakes loose and drifts through the beams of golden light. The robot steps back and looks up at the turning gears, its amber porthole glowing brighter. Slow camera dolly to the right around the robot. Sound: creaking iron, a heavy clunk as the mechanism starts, ticking. No music, no speech.

Wait for the jobs with jobs_wait and show me the takes side by side, test by test. For each take, tell me where the subject or style drifts, whether the camera does what the prompt asked, and whether the action finishes, watching to the last second. Then quote the winner at the duration and resolution I will ship.

Create a collection for this comparison with the start images and every take, and report the models, the settings and every asset ID.

He slowly turns his head toward the camera and looks straight into the lens, takes a breath, and his eyes narrow slightly into a quiet, determined expression. The wind lifts his hair and the edge of his hood; behind him the red banners ripple and the mist drifts through the ring gate. Slow push-in from a medium close-up to a close-up. Real-time pace. Sound: steady mountain wind, banners flapping. No music, no speech.

Time-lapse. The woman in the camel coat stands perfectly still with her eyes closed while the crowd streams around her in fast blurred streaks, umbrellas flowing past; the blue-hour sky darkens into night, more shop lights come on, and headlights streak past behind. Locked-off static camera; the woman stays sharp and almost motionless, only her scarf moves slightly. Sound: muffled city ambience, light rain, distant traffic. No music, no speech.

The little brass robot grips the big iron gear with both hands and pushes it; the gear creaks and slowly begins to turn, the other wheels and the pendulum start moving, and dust shakes loose and drifts through the beams of golden light. The robot steps back and looks up at the turning gears, its amber porthole glowing brighter. Slow camera dolly to the right around the robot. Sound: creaking iron, a heavy clunk as the mechanism starts, ticking. No music, no speech.