Which Sume video model is fastest? The catalog's latency labels

Each Sume video model card carries a typical-latency label. Which rows are fast, medium or medium-slow, and what you pay for the faster ones.

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Sume does not publish a measured seconds-per-clip figure for video models, and this post does not invent one. What the repo does carry is a typical-latency label on each Video Router model card: fast, medium, or medium-slow. Those labels are the honest basis for choosing a model when the wait matters, for example when a user is watching a spinner.

The labels below come from the model cards in the Sume API source (read 2026-10-07). Prices are the billed rates at 720p, 9:16, list x 1.25.

The labels, sorted

Typical latency from the Sume model cards, read 2026-10-07. Seedance rows are priced for 5 s at 720x1280.
Model idTypical latencyMax clip5 s priceWhy you would pick it
seedance-2-minifast15 s$0.95Cheapest Seedance 2.0 row
seedance-2-fastfast15 s$1.52Lower latency than seedance-2
seedance-2medium15 s$1.89Quality over Mini at the same limits
seedance-2.5medium30 s$2.89Longest Seedance clip, 1080p, many references
wan-3.0medium30 s$0.632 s floor, 30 s ceiling
gemini-omni-flash-1.1medium10 s$0.63Edit mode and 4K
minimax-h3medium15 s$0.38 (768p)Character consistency from references
grok-imagine-video-1.5medium15 s$0.07Image-to-video only
kling-3medium-slow15 s$0.70 silent / $1.05 audioCinematic motion, 1080p without references
minimax-h3-maxmedium-slow15 s$0.50 (768p)Faster than a full-size MiniMax tier at native 768p

How to use the labels

Only two rows are labelled fast, and both are Seedance 2.0 variants. If you need a quick result, send the same prompt to seedance-2-mini first. At 5 seconds it costs $0.95 per clip, and you can promote the best prompt to seedance-2.5 later.

The two medium-slow rows, Kling 3 and MiniMax H3 Max, are the ones to keep out of a synchronous request path. Use callback_url or poll GET /v1/videos/{id}; the docs suggest a 30-second poll interval. Long waits are normal for these rows, and a job that stays in pending is not a failure.

A measured number beats a label

Time ten of your own prompts on the two models you are deciding between, and log the gap between POST /v1/videos and status: completed. Queue depth and resolution both move the result, so a label ranks models and does not predict a number. Treat any wait-time figure from a vendor page or blog, including this one, as a hint that must be confirmed with your own prompts.

Sources

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