Compare Gen-4 Turbo
Gen-4 Turbo’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-4 Turbo full profile ↗
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Gen-4 Turbo'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-4 Turbo or Gen-4.5 cheaper?
They are currently priced the same — both $0.010 / credit.
How does Gen-4 Turbo compare to Gen-4.5?
Modelglass rates both models across 7 capability dimensions. Gen-4 Turbo rates higher on Inference speed. Gen-4.5 rates higher on Motion quality and Prompt adherence.
Compare with (up to 3)
| Gen-4 Turbo base | Act Two | Aleph 2 | CogVideoX-5B | FLUX 3 Video | Gemini Omni Flash | Gen-3 Alpha (retired) | Gen-4.5 | Grok Imagine Video 1.5 | Hailuo-02 | HappyHorse 1.0 | HunyuanVideo 1.5 | Kling 1.6 | Kling 2.1 | 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 | Veo 2 (deprecated) | Veo 3 (deprecated) | Veo 3.1 | Vidu Q3 | Wan 2.1 | Wan 2.5 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Price | $0.010 / credit | $0.050 / second | $0.010 / credit | $0.20 / clip | from $0.060 / second | $0.10 / second | — | $0.010 / credit | $0.080 / second | from $0.076 / clip | from $0.15 / second | $0.40 / clip | $0.040 / second | $0.060 / second | $0.048 / clip | from $0.040 / second | $0.42 / clip | from $0.20 / clip | from $0.30 / clip | from $0.16 / second | — | — | — | from $0.10 / second | $0.35 / second | from $0.10 / second | from $0.050 / second | from $0.035 / second | from $0.090 / second | $0.050 / second |
| Creator | Runway | Runway | Runway | Zhipu AI (THUDM) | Black Forest Labs | Google DeepMind | Runway | Runway | xAI | MiniMax | HappyHorse Team | Tencent | 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) | 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 | 2025-03 | 2025-07 | 2025 | 2024-08 | 2026-08 | 2026-06 | 2024-06 | 2025-06 | 2026-06 | 2025-02 | 2026-04 | 2025-03 | 2024-09 | 2025-04 | 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 | Current | Current | Current | Current | — | Current | Previous | Current | Current | Current | Current | Current | Previous | Current | Previous | Current | Current | Current | Current | Current | Current | Current | Current | Current | Previous | Previous | Current | Current | Previous | Current |
| Moderate | Strong | Moderate | Moderate | Unknown | Moderate | Moderate | Strong | Unknown | Moderate | Strong | Strong | Moderate | Strong | 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
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| Strong | Strong | Strong | Moderate | Unknown | Moderate | Moderate | Strong | Strong | Moderate | Strong | Strong | Moderate | 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
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| Moderate | Weak | Moderate | Moderate | Strong | Strong | Moderate | Strong | Moderate | Moderate | Strong | Strong | Moderate | 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
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| Weak | Strong | Weak | Weak | Strong | Weak | Weak | Weak | Strong | Weak | Strong | Weak | Weak | Moderate | 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
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| — | Moderate | — | Weak | Moderate | Weak | Moderate | — | Unknown | — | Moderate | — | Weak | 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
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| Strong | Strong | Moderate | Weak | Unknown | Strong | Moderate | Weak | Unknown | Moderate | Unknown | Weak | Moderate | Moderate | 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
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| Moderate | Moderate | Strong | Moderate | Unknown | Weak | Moderate | Moderate | Unknown | Moderate | Strong | Moderate | Moderate | Moderate | 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
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Capability ratings are an expert synthesis across benchmarks, community evaluations, and provider documentation. “—” means no profile data for that dimension.