by ShengShu Technology

Vidu review, pricing and verdict

AI video generator with text-to-video, image-to-video, and reference-to-video modes, native audio-video co-generation up to 16 seconds, and multi-subject consistency: starting free with paid plans.

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Last updated: 2026-08-26

Vidu, from ShengShu Technology, has over 10 million users worldwide generating AI video. Its standout feature is Reference-to-Video: feed it several images and it keeps the same face, object, or setting consistent across a whole clip. The Q3 model can also lay in synced dialogue and sound as it renders.

About Vidu

Vidu is an AI video generation platform developed by ShengShu Technology, a Beijing-based startup founded in March 2023 by researchers from Tsinghua University. It runs entirely in the browser at vidu.com, with no local GPU required, and offers three ways to create a clip: from a text prompt, from a still image, or from a set of reference images. ShengShu Technology's April 2026 Series B raised $293M (¥2B), led by Alibaba Cloud with TAL Education Group, Baidu Ventures, and other investors participating: the largest single round in China's video-generation sector to date. Total funding now tops $987M, and the company counts 3,000+ enterprise customers with ARR past $20M as of 2025.

Pricing

Free tier with bonus starter credits and unlimited off-peak generation. Standard $8/mo (800 credits, ~200 videos, no watermark, commercial use). Premium $28/mo (4,000 credits, ~1,000 videos, priority generation). Ultimate $79/mo (8,000 credits, ~2,000 videos, max throughput). API: $0.005/credit; Q3-turbo reference-to-video at 720p costs $0.05/sec standard, $0.025/sec off-peak. Enterprise from $200/mo with custom fine-tuning.

Key Features

  • Native Audio-Video Co-Generation: Vidu Q3 model generates synchronized audio and video together in a single pass up to 16 seconds: including dialogue with lip-sync, ambient sound, and music.
  • Multi-Subject Consistency: Reference-to-Video mode blends up to 7 reference images into a single consistent video: maintaining character appearances, object shapes, and scene elements across clips.
  • Three Creation Modes: Text-to-Video from natural language prompts; Image-to-Video with first-frame and last-frame control; Reference-to-Video blending up to 7 reference images into one consistent video.
  • My References Library: Save characters, props, and scenes for reuse across generations: enabling series production and brand consistency without re-uploading reference images.
  • All-in-One Creative Suite: AI Sound Effects Generator (48 kHz), AI Image Generator, and ViduClaw marketing agent: plan and produce complete video campaigns from storyboard to final output in one platform.

Pros

  • Reference-to-Video's 7-image consistency is hard to match: most rival tools only hold one or two reference images before character continuity breaks down across a scene.
  • The unlimited off-peak generation lets you judge real output quality at no cost: many competitors cap free use at a handful of low-res previews.
  • A typical render finishes in well under a minute, fast enough to try a shot several times before committing paid credits to a final version.
  • Native audio-video co-generation means a finished clip already carries synced dialogue and background audio, skipping the separate voiceover-and-sync pass most rival tools still require.

Cons

  • Failed renders still consume credits: users report effective output far below advertised credit allowances due to problematic generations.
  • Poor customer support and strict no-refund policy: Trustpilot 2.0/5 with widespread complaints about unresponsive ticket handling.
  • Struggles with complex multi-element prompts: reviewers explicitly recommend simple, focused prompts; narrative or physically complex scenes often fail.
  • Anime/cinematic aesthetic only: unsuitable for UGC-style ads or realistic product demos without heavy post-processing.

Data Handling

Training-data policy
User inputs and outputs may be used to improve services; enterprise plans offer data isolation — see privacy policy for opt-out details
Data retention
30 days
Compliance
GDPR

Frequently Asked Questions

What does Vidu actually cost?

Vidu's paid tiers run Standard at $8 a month for 800 credits (about 200 clips, no watermark, cleared for commercial use), Premium at $28 a month for 4,000 credits (roughly 1,000 clips with priority processing), and Ultimate at $79 a month for 8,000 credits (about 2,000 clips at maximum throughput). Developers pay per credit through the API at $0.005 each, with Q3-turbo reference-to-video at 720p landing around $0.05 a second in standard hours or $0.025 off-peak. Enterprise buyers get custom fine-tuning and an SLA starting at $200 a month.

Can you use Vidu without paying?

Yes. Vidu's free tier includes bonus starter credits plus unlimited generation during off-peak hours, so you can test all three creation modes at no cost. Because the paid tiers specifically advertise removing the watermark and unlocking commercial use, free-tier output ships watermarked and is not licensed for commercial work.

What are Vidu's closest competitors?

Kling AI, Runway, and Pika are the closest matches on hokai. Kling AI is the pick if you want a platform already serving 60 million-plus creators; Runway leans into Gen-4.5's physics-aware rendering and a full agent-driven editing suite; Pika fits best if MCP support for agentic workflows matters more than reference consistency.

How does Vidu compare to Kling AI in 2026?

Kling AI is the more direct rival: both platforms generate audio with the video in one pass and offer a real free tier. Kling AI pulls ahead on raw resolution, native 4K against Vidu's 1080p ceiling, and adds lip-synced dialogue across five languages. Vidu answers back with Reference-to-Video: blending several images to hold one character, object, or scene consistent across a clip, a feature Kling AI's spec sheet does not list.

How do you set up Vidu?

Create a free account at vidu.com; there is nothing to install since Vidu runs entirely in the browser. Pick a mode: type a prompt for Text-to-Video, upload a still for Image-to-Video, or add multiple reference images to My References for Reference-to-Video. A typical clip renders in as little as 10 seconds, and the free tier's starter credits cover several test generations before you need to pay.

Top Alternatives

  • Kling AI: Pick Vidu for reference-to-video consistency across up to 7 images; pick Kling AI for native 4K output and lip-synced audio in five languages.
  • Runway: Pick Vidu for built-in reference-to-video consistency and native audio-video generation; pick Runway for Gen-4.5's physics-aware rendering and its full agent-driven editing suite.
  • Pika: Pick Vidu for multi-image reference consistency and native synced audio; pick Pika for Pikaframes aspect control and MCP integration into agentic pipelines.

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