Specify
Lock the shot, references, output rules, and approval rubric.
Independent 2026 field guide
One vision. Every model.
Monet Vision 2.0 Beta maps video, image, audio, effects, and editing across leading AI engines—then adds a method for comparing quality and credits honestly.
18 focused pages4 current model notes2026 checked guide
SHOT 06M
Model route3 candidates1080p · 8–15 sec
Cost noteRetry budget 2×Review before upscale
MODELS
Veo
Sora
Kling
Wan
CREDITS
20 40 60 80 100 120 140 160
VIDEO GENERATION AI IMAGES AUDIO LIP SYNC VIDEO SWAP MOTION CONTROL LONG TAKE
A catalog becomes useful with a method
Compare the shot, not the showcase.
Keep the brief and references stable, then measure which model produces the most approved work at the lowest total cost.
Compare
Run controlled tests across the models that fit the job.
Transform
Apply motion, swap, lip sync, extension, or edits deliberately.
Measure
Track credits, retries, review time, and approved seconds.
Current model field notes
Route by shot, duration, and control.
Picture + sound
Veo 3.1
Test native audio, cinematic control, references, and approved cost at current settings.
Open field note ↗Prompt → sequenceSora 2 Pro
Evaluate longer shots by temporal coherence, resolution, retries, and usable seconds.
Open field note ↗Source → revisionKling O3 Edit
Transform a source clip while auditing identity, scene truth, motion, and sound.
Open field note ↗Draft → deliveryWan 2.6
Compare duration and resolution tiers with the lowest useful test setting first.
Open field note ↗Buy with a real brief
Measure approved outputs, not generation volume.
Credits, model access, concurrency, and promotions can change. Our pricing method starts with one representative campaign and tracks the real cost of usable work.
One clear brief can reveal the right engine