First-Party Video Model Benchmark

This page defines how imgmov compares video models and will publish the measured result table. No first-party results are published yet.

Current benchmark status

No first-party results are published yet. The model scope, protocol, and output schema below are visible now; rows will be added only after matching runs are complete. Published list rates shown separately are not generation results.

Uniform prompt and reference input

Every candidate model receives this exact prompt and the same static product-photo reference file. The reference asset is selected from a fixed set before the run and its source URL and SHA-256 hash are recorded with the results.

A red ceramic coffee cup on a pale oak table beside a folded linen napkin. Keep the cup, logo, and handle shape stable while soft morning light crosses the table. Slow dolly-in, natural shallow depth of field.

Evaluation method

  • Use one fixed prompt for every model; do not translate, shorten, or optimize it per model.
  • Use the same product photo file as the reference for every model, without changing its crop, dimensions, compression, or filename.
  • Run two unattended generations per model at 4 seconds and 720p, recording every successful and failed attempt.
  • Record client-measured generation time from submit until the terminal success or failure event.
  • Record the actual credits charged by imgmov, not only the model's advertised rate.
  • Compare output against product preservation, prompt adherence, motion stability, file integrity, and visible artifacts. Use qualitative observations, not invented numeric scores.
  • Publish a row only when the run, output URL, settings, cost, and evaluator note are available. Omit failed or unavailable fields as "not recorded".

Observations describe one evaluator's review of these runs. They are context-specific, not universal model rankings or a substitute for a viewer's own test.

Result table

Empty until first-party runs are complete. Failed or missing measurements will be marked "not recorded" rather than omitted silently.
Run dateModelInputOutput durationResolutionGeneration timeCost or creditsObserved strengthsObserved failuresEvaluator notes
No rows are published yet.

Candidate models and published rates

These rates are imgmov's published list rates, not benchmark costs. The result table will record the actual charge for each completed or failed run.

ModelPublished rate
Agnes Video 2.5 Flash2 credits per second (published list rate)
Seedance 2.5480p: 18 credits per second; 720p: 39 credits per second (published list rates)
Kling v3 Omni39 credits per second without audio; 49 credits per second with audio (published list rates)
Veo 3.14 seconds: 80 credits (published list rate)

    Every candidate model receives this exact prompt and the same static product-photo reference file. The reference source URL and SHA-256 hash are recorded with the results.

    Run two unattended generations per model at 4 seconds and 720p, recording successes and failures.

    Measure generation time from submit until the terminal event.

    Record actual credits charged, not only advertised rates.

    Assess product preservation, prompt adherence, motion stability, file integrity, and visible artifacts; do not invent numeric scores.

    Observations are context-specific and are not universal rankings.

    Agnes Video 2.5 Flash: 2 credits per second (published list rate).

    Seedance 2.5: 480p 18 credits per second; 720p 39 credits per second (published list rates).

    Kling v3 Omni: 39 credits per second without audio; 49 with audio (published list rates).

    Veo 3.1: 4 seconds 80 credits (published list rate).

    Published rates are not benchmark costs.

    Prompt & Template Library | Image to Video AI | Product Photo to Video | Course videos | Product & selling videos | AI models and pricing

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