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Compare Gen-3 Alpha

Gen-3 Alpha’s pricing, architecture, and capability ratings side by side with up to three other AI video-generation models. Pick models below — your selection is saved in the URL and is shareable. Gen-3 Alpha full profile ↗

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Gen-3 Alpha's pricing, architecture, and capability ratings side by side with up to three other AI video-generation models. Add or remove comparison models with the selector below — the selection is saved in the page URL, so a specific comparison is shareable.

Is Gen-3 Alpha or Gen-4 Turbo cheaper?

Current pricing isn't tracked for both models, so a direct price comparison isn't possible here.

How does Gen-3 Alpha compare to Gen-4 Turbo?

Modelglass rates both models across 7 capability dimensions. Gen-4 Turbo rates higher on Temporal consistency and Inference speed.

Compare with (up to 3)

	Gen-3 Alpha base (retired)	Act Two	Aleph 2	CogVideoX-5B	FLUX 3 Video	Gemini Omni 1.1 Flash	Gemini Omni Flash (retired)	Gen-4 Turbo	Gen-4.5	Grok Imagine Video 1.5	Hailuo-02	HappyHorse 1.0	HunyuanVideo 1.5	Kling 1.6 (retired)	Kling 2.1 (retired)	Kling 3.0	Kling 3.0 Omni	Kling 3.0 Turbo	LTX Video 0.9.7	LTX-2.3	Mochi 1 (deprecated)	Pika 2.2	Ray 3.2	Seedance 2	Seedance 2.0	Seedance 2.0 Fast	Seedance 2.0 Mini	Sora 2 (retired)	Veo 2 (retired)	Veo 3 (retired)	Veo 3.1 (retired)	Vidu Q3	Wan 2.1	Wan 2.5
Price	Retired · last price $0.019 / credit	$0.05 / second	$0.01 / credit	$0.20 / clip	from $0.06 / second	$0.10 / second	Retired · last price $0.10 / second	$0.01 / credit	$0.01 / credit	from $0.08 / second	from $0.10 / clip	from $0.15 / second	$0.375 / clip	Retired · last price $0.04 / second	Retired · last price $0.06 / second	from $0.084 / second	from $0.084 / second	from $0.112 / second	$0.000975 / GPU second	from $0.06 / second	$0.00153 / GPU second	from $0.20 / clip	from $0.30 / clip	from $0.16 / second	—	—	—	Retired · last price $0.10 / second	Retired · last price $0.35 / second	Retired · last price $0.12 / second	Retired · last price $0.05 / second	from $0.035 / second	from $0.09 / second	$0.05 / second
Creator	Runway	Runway	Runway	Zhipu AI (THUDM)	Black Forest Labs	Google DeepMind	Google DeepMind	Runway	Runway	xAI	MiniMax	HappyHorse Team	Tencent	Kuaishou Technology	Kuaishou Technology	Kuaishou Technology	Kuaishou Technology	Kuaishou Technology	Lightricks	Lightricks	Genmo AI	Pika Labs	Luma AI	Runway	ByteDance Seed	ByteDance Seed	ByteDance Seed	OpenAI	Google DeepMind	Google DeepMind	Google DeepMind	Shengshu Technology	Wan Video (Alibaba)	Wan Video (Alibaba)
Architecture	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Flow matching / rectified flow	—	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	autoregressive-video	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	autoregressive-video	autoregressive-video	autoregressive-video	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)	Diffusion transformer (DiT)
Released	2024-06	2025-07	2025	2024-08	2026-08	2026-08	2026-06	2025-03	2025-06	2026-06	2025-02	2026-04	2025-03	2024-09	2025-04	2026-02	2026-02	2026-06	2025-02	2026-03	2024-10	2025-04	2025-09	2026-05	2026-02	2026-02	2026-06	2025-10	2024-12	2025-05	2026-06	2026-01	2025-03	2025-09
Generation	Previous	Current	Current	Current	—	Current	Previous	Current	Current	Current	Current	Current	Current	Previous	Previous	Current	Current	Current	Previous	Current	Current	Current	Current	Current	Current	Current	Current	Previous	Previous	Previous	Previous	Current	Previous	Current
	Moderate	Strong	Moderate	Moderate	Unknown	—	Moderate	Moderate	Strong	Unknown	Moderate	Strong	Strong	Moderate	Strong	Strong	Strong	Moderate	Moderate	Unknown	Moderate	Moderate	Strong	Strong	Strong	Unknown	Unknown	Strong	Strong	Strong	Strong	Unknown	Moderate	Moderate
Measures how realistic and coherent motion is across frames — including natural movement, fluid transitions, and absence of warping, jitter, or ghosting artifacts. What each rating means here Strong Smooth, physically plausible motion with natural acceleration, fluid transitions, and minimal warping or temporal artifacts. Moderate Motion is mostly convincing but shows subtle jitter, unnatural acceleration, or occasional warping on complex or fast-moving scenes. Weak Obvious motion artifacts — jitter, warping, or frame-to-frame inconsistency undermine the realism of the clip.
	Moderate	Strong	Strong	Moderate	Unknown	—	Moderate	Strong	Strong	Strong	Moderate	Strong	Strong	Moderate	Strong	Strong	Strong	Strong	Moderate	Unknown	Moderate	Moderate	Strong	Strong	Unknown	Unknown	Unknown	Strong	Strong	Strong	Strong	Unknown	Strong	Strong
Measures whether subjects, backgrounds, and fine details remain stable frame-to-frame — avoiding identity drift, morphing, or unexpected visual changes mid-clip. What each rating means here Strong Subjects and backgrounds remain stable throughout the clip — no identity drift, face morphing, or background flicker across frames. Moderate Generally stable but shows gradual drift or minor flickering on fine details, particularly in longer or complex clips. Weak Noticeable identity drift or background inconsistency; subjects may morph or lose visual detail mid-clip.
	Moderate	Weak	Moderate	Moderate	Strong	—	Strong	Moderate	Strong	Moderate	Moderate	Strong	Strong	Moderate	Strong	Strong	Strong	Strong	Moderate	Moderate	Moderate	Moderate	Moderate	Strong	Strong	Unknown	Unknown	Strong	Strong	Strong	Strong	Moderate	Moderate	Moderate
Measures how closely the generated clip matches the text description — including subject, action, style, composition, and camera direction instructions. What each rating means here Strong Closely follows the text description — correct subject, action, style, and camera direction with high fidelity throughout the clip. Moderate Captures the main subject and action but may miss stylistic details, camera instructions, or specific secondary elements. Weak Captures the general mood or subject but frequently ignores specific actions, style direction, or compositional instructions. Variable Adherence varies with prompt complexity — reliable for simple descriptions, inconsistent for compound or highly specific instructions.
	Weak	Strong	Weak	Weak	Strong	—	Weak	Weak	Weak	Strong	Weak	Strong	Weak	Weak	Moderate	Strong	Strong	Strong	Weak	Strong	Weak	Weak	Weak	Moderate	Strong	Unknown	Unknown	Weak	Weak	Strong	Strong	Strong	Weak	Weak
Measures whether the model generates synchronised audio — ambient sound, foley, speech, or music — natively alongside the video rather than requiring a separate pipeline. What each rating means here Strong Generates synchronised, contextually appropriate audio — ambient sound, foley, or music — that matches the on-screen action naturally. Moderate Produces audio alongside video but synchronisation or contextual fit is imperfect; works best for simple scenes. Weak No native audio support, or generated audio is clearly mismatched with the visual content.
	Moderate	Moderate	—	Weak	Moderate	—	Weak	—	—	Unknown	—	Moderate	—	Weak	Moderate	Strong	Strong	Moderate	Weak	Strong	Weak	—	Moderate	Strong	Unknown	Unknown	Unknown	Moderate	Moderate	Strong	Strong	Strong	—	—
Measures the highest output resolution the model produces natively before quality degrades, independent of any post-processing upscaling. What each rating means here Strong Produces large, high-quality native output at 1080p or above across multiple aspect ratios before any upscaling is needed. Moderate Solid at standard sizes; native quality degrades at higher resolutions — upscaling is needed for HD or large-format delivery. Weak Limited to lower native resolutions; quality degrades quickly as output dimensions increase. Variable Usable resolution depends on the chosen endpoint, plan, or quality setting — check provider specifications for your target output size.
	Moderate	Strong	Moderate	Weak	Unknown	—	Strong	Strong	Weak	Unknown	Moderate	Unknown	Weak	Moderate	Moderate	Moderate	Moderate	Strong	Strong	Variable	Weak	Moderate	Moderate	Moderate	—	—	—	Moderate	Moderate	Moderate	Moderate	Variable	Strong	Strong
Measures generation latency relative to clip length. Slow inference raises cost per second of output and limits interactive or real-time applications. What each rating means here Strong Fast generation — produces clips quickly relative to their length, keeping cost-per-second of output low. Moderate Typical generation time; fine for batch or async workflows but noticeable latency in interactive or real-time use. Weak Slow to generate, raising both latency and cost-per-second of output significantly relative to clip length. Variable Speed scales with clip length and resolution — fast for short clips at standard quality, much slower at maximum length or resolution.
	Moderate	Moderate	Strong	Moderate	Unknown	—	Weak	Moderate	Moderate	Unknown	Moderate	Strong	Moderate	Moderate	Moderate	Strong	Strong	Strong	Moderate	Moderate	Weak	Weak	Moderate	Strong	Strong	Unknown	Unknown	Moderate	Moderate	Moderate	Moderate	Strong	Moderate	Moderate
Measures the maximum clip length achievable in a single generation pass while maintaining consistent quality — longer ceilings reduce stitching requirements. What each rating means here Strong Generates clips of 10 seconds or longer in a single pass with consistent quality throughout. Moderate Manages 5–10 seconds reliably; quality or coherence may degrade toward the end of longer clips. Weak Limited to short clips (under 5 seconds); stitching multiple clips is required for longer sequences. Variable Maximum duration depends on the chosen resolution or quality setting — higher settings reduce the achievable clip length.

Capability ratings are an expert synthesis across benchmarks, community evaluations, and provider documentation. “—” means no profile data for that dimension.