AI Video Generation in 2026: Kling 3.0, Runway Gen-4.5, Veo 3.1 and What Sora's Shutdown Means

AI video generation has changed quickly since OpenAI first previewed Sora in early 2024. The leading tools now generate clips with synchronised sound, keep characters consistent across shots and follow detailed camera directions. The market has also shifted: OpenAI announced in March 2026 that it was discontinuing Sora, while Kuaishou’s Kling, Runway and Google’s Veo have pushed ahead. This guide summarises where the main platforms stand, what each is best at, and how to choose between them.

The main platforms at a glance

Platform	Developer	Latest major model	Notable strengths
Kling	Kuaishou (China)	Kling Video 3.0 and 3.0 Omni (February 2026)	Native multilingual audio, multi-shot storyboards, reference-based consistency, up to 15-second clips
Runway	Runway (US)	Gen-4.5 (December 2025)	Prompt adherence, motion quality, editing and control modes for professional workflows
Veo	Google DeepMind	Veo 3.1	Native audio, realism, integration with Google’s Gemini and Flow tools
Pika	Pika Labs (US)	Regular updates	Quick, template-driven clips for social media
Sora	OpenAI	Sora 2 (September 2025)	Discontinued: app closed April 2026, API in September 2026

Kling: the multilingual storyteller

Kuaishou, the Chinese short-video company, launched its Kling 3.0 model series in February 2026. According to Kling’s Video 3.0 model guide, the release brings native audio generation together with element consistency control, so a character uploaded as a reference keeps their appearance across a clip. Clips can run up to 15 seconds, and the model understands multi-shot instructions, adjusting camera angles for sequences such as shot-reverse-shot dialogue.

Its audio is a distinguishing feature. Kling says Video 3.0 can generate speech in Chinese, English, Japanese, Korean and Spanish, including regional accents and dialects, and can assign lines to specific characters in multi-character scenes, even with each speaking a different language. It also highlights better preservation of text such as logos on clothing, which matters for advertising.

Kling charges in credits per second of video. At the time of writing, a 1080p clip with native audio costs 12 credits per second, and a 720p clip without audio costs 6, so a 5-second 1080p clip with audio uses 60 credits. Credit prices depend on the subscription plan.

Runway: control for professional workflows

Runway released Gen-4.5 on December 1, 2025. In its announcement, Runway said the model ranked first on the Artificial Analysis text-to-video leaderboard at release, a ranking based on blind human preference votes, ahead of Google Veo 3, Kling 2.5 and OpenAI’s Sora 2 Pro. Leaderboard positions change as new models arrive, so treat any ranking as a snapshot.

Runway’s emphasis is controllability: following complex, sequenced instructions about camera choreography, scene composition and the timing of events. It also offers control modes such as image-to-video, keyframes and video-to-video, which suit editors who want to direct rather than simply prompt. Runway acknowledged limitations; as The Verge reported, the model can still struggle with object permanence and cause and effect, for example showing a door open before someone reaches the handle.

Runway has also built relationships with the film industry, including partnerships with studios to use its tools from storyboarding to visual effects.

Google Veo: realism with sound

Google DeepMind’s Veo line introduced natively generated audio, including dialogue, sound effects and ambience, with Veo 3 in May 2025. The current version, Veo 3.1, adds further creative controls. Veo is available through Google’s Gemini app, its Flow filmmaking tool and Google Cloud’s Vertex AI, which makes it a natural choice for teams already working in Google’s ecosystem. Google adds its invisible SynthID watermark to Veo output.

Pika: fast social content

Pika focuses on speed and accessibility for social media creators, with effects, templates and vertical formats aimed at platforms such as TikTok, Instagram Reels and YouTube Shorts. It is generally less suited to long, cinematic sequences than Kling, Runway or Veo, but it lowers the effort needed to produce short, playful clips.

What happened to Sora

OpenAI made Sora available to ChatGPT Plus and Pro subscribers in December 2024 and launched Sora 2, with synchronised audio and a social app for creating and remixing clips, in September 2025. On March 24, 2026, OpenAI announced it was discontinuing Sora. The app closed on April 26, 2026, and the API was shut down in September 2026, according to the Wikipedia summary of Sora’s history. OpenAI did not give a specific reason in its shutdown notice; reports linked the decision to computing costs and a shift toward core products.

Sora’s exit is a reminder that AI video tools can disappear or change terms quickly. Teams that build workflows around a single provider should keep their source material and project files portable.

How to choose

If you need	Consider	Why
Dialogue in several languages, recurring characters	Kling 3.0	Native multilingual audio and reference-based consistency
Precise direction and editing control	Runway Gen-4.5	Strong prompt adherence and control modes
Realistic clips with sound inside Google tools	Veo 3.1	Native audio, Gemini and Flow integration
Quick, playful social clips	Pika	Templates and vertical formats
Enterprise procurement and compliance	Runway or Veo via Google Cloud	Enterprise agreements and support

The most reliable way to choose is to run the same three or four briefs that represent your real work through each tool and compare the results, the time spent and the cost per usable clip.

How studios and creators are using these tools

The common pattern in professional settings is augmentation rather than replacement. AI video tools are used for storyboards and previsualisation, alternative takes, b-roll and backgrounds, advertising concepts and social content. Human editors still handle story, performance, compositing and final decisions. Long narrative work remains hard: consistency across many shots, believable acting and precise continuity still need heavy human involvement.

For independent creators, the tools have lowered the cost of producing short, polished clips. Platforms are responding to the flood of synthetic content with labelling rules; YouTube, for example, requires creators to disclose realistic altered or synthetic content.

Provenance, rights and misuse

Realistic video generation increases the risk of deepfakes and misinformation. The C2PA standard for Content Credentials attaches signed provenance information to media, and some vendors add invisible watermarks such as Google’s SynthID. These help but are not foolproof: metadata can be stripped, and watermarks were removed from Sora 2 clips by third-party tools within a week of its release.

Before publishing commercially, check each platform’s terms on output ownership and permitted use, its rules on real people’s likenesses and copyrighted characters, and any disclosure obligations, including the EU AI Act’s transparency rules for deepfakes.

Sources and further reading

• Kling: Video 3.0 model guide
• Runway: Introducing Gen-4.5
• The Verge: Runway Gen-4.5 launch
• Google DeepMind: Veo
• Wikipedia: Sora (text-to-video model)
• C2PA

Our analysis

The AI video race has moved from making a single impressive clip to control: consistent characters, directed camera work, editability and synchronised sound. Kling, Runway and Veo now lead on different strengths, and Sora’s discontinuation shows that even well-funded products can be withdrawn. These tools are ready for storyboards, social content, b-roll and advertising concepts, while long-form narrative work still depends on human editing. Choosing a platform should come down to your briefs, your existing tools and a clear view of rights and disclosure obligations.