SlopTV

Benchmark

Multi-shot leaderboard

Every model runs the same 4 prompts on this board. A vision model scores each clip blind against the original prompt in a single pass, across visual fidelity, physics and motion, subject consistency, prompt adherence and audio sync. Scores are out of 5, and the 95% CI column shows how much a score could plausibly move on a re-run with this few samples. Full methodology.

Board: Overall · Hands · Faces · Liquids · On-screen text · Multi-shot · Lip-sync · Camera · Animals · Style · Image to video · Animation

Look: Realism · Animation and 3D

Round: all · v1-vivix-2026-10 · v1-2026-10 · v1-2026-09 · anim1-2026-10

Clip shown: every model here on the same prompt, “multishot-cafe-conversation”, so the preview is a fair comparison, not a cherry-picked best clip.

#ModelClipOverall95% CIFidelity VisualPhysicsConsistency AudioAttemptsGen (s) $/runRuns
1 FLUX 3
Black Forest Labs
5.00 ±0 5.00 5.00 — 5.00 — 1.00 69 $1.360 4
2 Wan 3.0 preview
Alibaba
5.00 ±0 5.00 5.00 — 5.00 — — — — 4
3 Kling 4.0 preview
Kuaishou
5.00 ±0 5.00 5.00 — 5.00 — — — — 4

Attempts is the average number of generations needed before one was usable, the number that actually decides what a model costs you. 95% CI is computed from that model's own runs on this board, not assumed. On a category board with only 4 runs per model, a wide CI is the honest reflection of a small sample, not a bug. Two models whose CIs overlap are not meaningfully different at this sample size.

Cite this

Free to cite and reuse with a link back. Data is updated as new runs and prices come in, so include the date.

SlopTV. (2026). Multi-shot leaderboard: AI video models ranked. Retrieved October 23, 2026, from https://sloptv.co/leaderboard/multishot
<a href="https://sloptv.co/leaderboard/multishot">Multi-shot leaderboard: AI video models ranked</a> (SlopTV)

Frequently asked

Which AI video model is best at Multi-shot right now?

As of 23 October 2026, FLUX 3 by Black Forest Labs ranks #1 on Multi-shot on SlopTV's benchmark, scoring 5.00/5 across 4 scored runs (±0 at 95% confidence).