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HappyHorse 1.0

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happyhorse/happyhorse-1-0 · by HappyHorse Team · Diffusion transformer (DiT)

Pricing — 1 offering(s)

About this offering: HappyHorse 1.0, a video model with native audio attributed to Alibaba's Future Life Laboratory, available through Runway's API since 2026-05-29 for text-to-video and image-to-video at 15 credits ($0.15) per second at 720p and 30 credits ($0.30) at 1080p (Runway API pricing, checked 2026-10-11). Artificial Analysis's video arenas rank it joint 13th–15th of 29 for text-to-video and 11th of 36 for image-to-video, behind the newer HappyHorse 1.1 (checked 2026-10-11).

Standard (720p)

  • $0.15 / second Current 2026-05-29 → present

    15 credits/second × $0.01/credit = $0.15/s at 720p. Available via Runway API as of 2026-05-29.

Standard (1080p)

  • $0.30 / second Current 2026-05-29 → present

    30 credits/second × $0.01/credit = $0.30/s at 1080p.

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 HappyHorse 1.0 rates across core capability dimensions, with the task-level evidence behind each rating.

Prompt adherence Strong
temporal consistency Strong

Multi-shot consistency is highlighted as an explicit design goal — the model maintains visual and character coherence across cut transitions within a clip.

motion quality Strong

Solid (not top) benchmark placement implies good motion quality — see the prompt-adherence dimension for the corrected current Arena rank (#6 of 28, Elo 1121, not #1). No detailed motion-specific study available.

native audio Strong

Native joint audio-video generation in a single forward pass — audio is not post-processed. Architecture-level integration, similar to Veo 3.1.

camera control Unknown

No documentation on camera control parameters available as of 2026-07-02.

character consistency Strong
Resolution ceiling Moderate

Max 1080p. No 4K option currently available via the Runway API.

Inference speed Unknown

No inference speed data available as of 2026-07-02.

clip duration ceiling Strong

3–15 seconds per clip. 15 seconds matches Seedance 2 as the longest clip duration in the Runway lineup and among the highest in the registry.

image to video quality Strong
Compositional accuracy Strong

Solid (not top) benchmark placement implies good compositional understanding — see the prompt-adherence dimension for the corrected current Arena rank. No separate compositional test data available.

cost efficiency Moderate

$0.15/s (720p) is mid-range; $0.30/s (1080p) is expensive relative to peers. As an upper-mid-table model (not #1 anymore — see prompt-adherence dimension), the quality-per-dollar ratio is solid but no longer a clear standout at 720p compared to alternatives at similar price points.

video editing Weak

T2V and I2V only via the Runway API. The underlying HappyHorse model may support V2V and subject-to-video (SV2V) modes, but these are not exposed via the Runway API as of 2026-07-02. Rated weak for this offering.

Operator guidance

Choose HappyHorse 1.0 when solid T2V or I2V quality is needed and native audio is required. It was the #1-ranked model on the Artificial Analysis leaderboard at its April 2026 launch, but as of 2026-08-19 it had settled to upper-mid-table (#6/28 T2V, #8/29 I2V) as the tracked field grew: still a credible option, not the outright leader it was at launch. For the current top-ranked options on the same arena, see Dreamina Seedance 2.0 (#1 I2V) or Gemini Omni Flash (#1 T2V). At $0.15/s (720p) it remains a reasonable price for this tier. No V2V or editing capability via the Runway API. For V2V and 4K on the same provider, choose Seedance 2; for the lowest cost on Runway, Gen-4 Turbo ($0.05/s, I2V only). Caveat: the creator is pseudonymous (attributed to Alibaba's Future Life Laboratory), so commercial deployment should factor in vendor stability and licensing clarity.

Use cases

Provenance notice

  • Pseudonymous creator; attributed to Alibaba's Future Life Laboratory but not officially confirmed
  • Model may be subject to Chinese data regulations given probable origin

Limitations

Citations