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HunyuanVideo 1.5

Video Available Full comparison ↗

tencent/hunyuan-video-1-5 · by Tencent · Diffusion transformer (DiT)

Pricing — 1 offering(s)

Standard

  • $0.375 / clip Historical 2026-06-13 → 2026-09-19 Correction
    Corrected 2026-09-26: Modelglass first recorded a wrong price for these dates; this row replaces it, and the…

    Corrected 2026-09-26: Modelglass first recorded a wrong price for these dates; this row replaces it, and the wrong row is no longer served.

  • $0.375 / clip Current 2026-09-20 → present

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

See how HunyuanVideo 1.5 fits into a cost-aware routing setup

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Capability profile

How HunyuanVideo 1.5 rates across core capability dimensions, with the task-level evidence behind each rating.

temporal consistency Strong

Full-attention 3D DiT produces excellent frame coherence; widely noted as one of the strongest open-weight models on VBench temporal metrics.

motion quality Strong

Strong motion realism; competitive with commercial closed models.

Prompt adherence Strong

Dual-stream text conditioning improves following of complex prompts.

native audio Weak

No audio.

Inference speed Weak

13B parameter model is slow on consumer hardware; fal.ai hosted inference is practical but expensive per clip at $0.375 (5 seconds, $0.075/s).

clip duration ceiling Moderate

Up to ~10 seconds via API.

cost efficiency Strong
video editing Weak

T2V and I2V only; no editing of existing clips exposed via API or fal.ai.

Ratings are estimated — limited independent data is available for this model.

Benchmarks

Benchmark Score Config Source
vbench 85.9 Approximate; verify against current leaderboard. HunyuanVideo was top-ranked among open-weight models at the time of its release. leaderboard ↗

Operator guidance

Best open-weight option for temporal consistency and motion quality. Self-hosting is practical on A100/H100 hardware. Via fal.ai it costs $0.375 per 5-second clip ($0.075/s) — choose based on which provider's terms suit. Not suitable for latency-sensitive or high-volume workflows due to generation speed.

Use cases

Provenance notice

  • Tencent-origin model; subject to Chinese data regulations
  • Open-weight release enables self-hosting but terms still apply

Limitations

Citations