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Mochi 1

Video Deprecated Full comparison ↗

genmo/mochi-1 · by Genmo AI · Diffusion transformer (DiT)

Pricing — 1 offering(s)

Replicate

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About this offering: Genmo's open-weights Mochi 1 text-to-video model, hosted on Replicate (genmoai/mochi-1). It's billed by compute time on an Nvidia H100 at $0.001525 per second; a clip typically takes up to 5 minutes, and a median run costs about $0.42 (Replicate model page, checked 2026-10-11). Genmo no longer develops Mochi 1.

Standard

  • $0.00153 / GPU second Current 2026-10-18 → present
    Billed per second of GPU time on an Nvidia H100, not per second of output video. A typical 5-second clip…

    Billed per second of GPU time on an Nvidia H100, not per second of output video. A typical 5-second clip costs about $0.42 (Replicate's median run cost; an estimate that varies with inputs). Runs typically take several minutes.

Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.

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Capability profile

How Mochi 1 rates across core capability dimensions, with the task-level evidence behind each rating.

motion quality Moderate

Was among the strongest open-weight models for motion quality at launch (Oct 2024); now superseded by Wan 2.x and HunyuanVideo.

temporal consistency Moderate
Prompt adherence Moderate
native audio Weak

No audio.

Resolution ceiling Weak

Max 480p; not suited for production use requiring HD output.

Inference speed Weak

~5 minutes per clip on Replicate; very slow for production use.

clip duration ceiling Weak

Max ~6 seconds. Short by current standards.

cost efficiency Strong
video editing Weak

T2V only (no I2V); no editing of existing clips.

Operator guidance

Mochi 1 is deprecated; do not use for new production deployments. Included for historical benchmarking and comparison. Self-hosting is possible (Apache-2.0 weights), but current open-weight alternatives (Wan 2.5, HunyuanVideo 1.5, LTX Video) significantly outperform it on all axes. On Replicate at $0.42/clip it is expensive relative to its quality tier.

Use cases

Limitations

Citations