Nova Reel 2-minute videos in 6 s steps vs Sume's 30 s video jobs

Nova Reel makes up to two minutes through async invoke in 6-second increments. Sume's catalog tops out at 30 seconds per job, so a long video needs several.

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Nova Reel can return one video up to two minutes long; no Sume video model in the docs does. AWS's user guide says Nova Reel generates in 6-second increments up to 2 minutes and runs only through the asynchronous StartAsyncInvoke call. Sume's video docs list 30 seconds as the longest single clip, for seedance-2.5 (4 to 30) and wan-3.0 (2 to 30).

Side by side

Both services are asynchronous, so the shape of your code survives a move: submit, keep an id, poll or take a callback, then fetch. What changes is the length of one job and where the output lands.

Nova Reel vs Sume video length and flow (AWS user guide and Sume docs, read 2026-10-07)
ItemAmazon Nova ReelSume /v1/videos
Longest single output2 minutes30 seconds (seedance-2.5, wan-3.0)
Duration steps6-second incrementswhole seconds from the model's supported_durations
InvocationStartAsyncInvoke onlyPOST /v1/videos, 202 with an id and polling_url
Model idamazon.nova-reel-v1:1catalog ids such as seedance-2.5
Learn the resultAsync invoke, then read the output when donePoll, or send callback_url for a signed webhook

Planning a long video

A 2-minute target is at least four 30-second jobs on Sume, and the clips will not match each other unless you plan for it. Sume does not join generated clips in /v1/videos; assembly is a separate step, and the Timeline 1.0 docs describe the Sume surface that sequences clips. Check them for limits before you commit to a design.

Cost scales with the sum of the clips, and the submit reserves provider list price times 1.25 for each. Read pricing_skus from GET /v1/videos/models and multiply before you queue a long batch.

What I did not compare

I have no quality or latency numbers for either side, and none are implied here. Pick on length, price and the controls you need, then test with a real prompt.

Sources

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