Best AI Video Generators 2026
Complete comparison of top AI video generation tools including Luma, HeyGen, and Synthesia.
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Luma launched Luma Agents on March 5, 2026 - a platform that takes a creative brief and handles the full production pipeline across text, image, video, and audio without requiring teams to switch between separate tools. The agents are powered by Uni-1, the first model in Luma’s new Unified Intelligence architecture, and are already deployed with Publicis Groupe, Serviceplan, Adidas, and Mazda.
Luma Agents replace the typical multi-tool AI workflow - where creative teams juggle separate models for writing, image generation, video production, and audio - with a single coordinated system. You provide a brief and optional reference assets, and the agent handles planning, generation, evaluation, and delivery across all modalities.
The key differentiator is persistent context. Current AI workflows require teams to manually pass context between tools, rebuilding state at every step. Luma Agents maintain shared context across the entire project, from the initial brief through each iteration and revision.
“Creative work has never lacked ambition - it’s lacked execution capacity,” said Amit Jain, Luma’s CEO and co-founder. “Creative teams shouldn’t have to spend their time orchestrating tools. They should spend it creating.”
Uni-1 is the foundation model behind Luma Agents and represents Luma’s architectural bet against the industry’s standard approach of chaining separate specialized models together.
It is a decoder-only autoregressive transformer operating over a shared token space that interleaves language and image tokens natively. This means the model can reason in language and render in pixels within the same forward pass - no intermediate handoff between a text model and an image model.
Luma calls this “Unified Intelligence” and draws an analogy to how a human architect sketches a building: they are simultaneously simulating structure, light, spatial dynamics, and lived experience. Reasoning and creation happen together, not sequentially.
Language and image tokens interleave natively, enabling reasoning and rendering in a single forward pass
Configurable chain-of-thought depth lets the system plan complex briefs before generating any output
Agents evaluate their own outputs against the original brief and regenerate when results fall short
Maintains state across assets, collaborators, and iterations throughout the entire project lifecycle
While Uni-1 handles planning and reasoning, production-quality output relies on routing subtasks to specialized external models. Luma Agents automatically select and coordinate these models based on task requirements:
External models coordinated by Luma Agents
| Model | Provider | Role |
|---|---|---|
| Ray3.14 | Luma AI | Primary video generation (native 1080p, 4x speed) |
| Veo 3 | Secondary video with native audio generation | |
| Sora 2 | OpenAI | Video generation |
| Kling 2.6 | Kuaishou | Video generation |
| Seedream | ByteDance | Image generation for storyboard frames |
| GPT Image 1.5 | OpenAI | Image generation and editing |
| ElevenLabs | ElevenLabs | Voice and audio synthesis |
| Nano Banana Pro | Lightweight inference tasks |
The orchestration layer selects models automatically, evaluates outputs against the original brief, and loops back for refinement when results do not meet quality thresholds. The reasoning_effort API parameter controls how much planning compute Uni-1 uses before starting generation - higher effort means fewer wasted generation cycles on complex briefs.
Luma is not doing a broad consumer launch. Access is via API with gradual rollout, and the initial customers are agency-scale enterprises:
In a demonstration, Jain showed how a 200-word brief and a product image (a tube of lipstick) led the system to generate campaign variations including location suggestions, model selections, color schemes, scripted video clips, and voiceover. In another case, Luma Agents turned a brand’s $15 million, year-long ad campaign into localized multi-market ads in 40 hours for under $20,000.
Luma closed a $900 million Series C in November 2025, backed by Humain (Saudi PIF subsidiary), Andreessen Horowitz, AWS, AMD Ventures, and Nvidia. The funding supports Project Halo, a 2GW compute supercluster in Saudi Arabia expected to begin deployment this quarter.
Luma Agents are available through existing Dream Machine subscription tiers with varying usage allocations:
Luma Agents pricing tiers (20% savings with yearly billing)
| Plan | Price | Agent Usage | Target |
|---|---|---|---|
| Plus | $30/month | Base allocation | Individual creators |
| Pro | $90/month | 4x agent usage | Freelancers and small teams |
| Ultra | $300/month | 15x agent usage | Studios and agencies |
| Enterprise | Custom | Custom | Contact sales |
All plans include free trial credits. The API is publicly accessible, though Luma is throttling onboarding to prevent capacity issues.
The architectural approach is promising, but there are open questions worth tracking:
Luma Agents represent a shift from “here are 100 AI models, learn to prompt them” toward delegating entire creative workflows to an AI system that handles orchestration internally. For agencies producing high volumes of localized content across markets, the pitch is compelling: one brief, one system, multiple deliverables.
The real test is whether Uni-1’s integrated reasoning delivers meaningfully better results than manually orchestrating separate best-in-class models. The enterprise deployments with Publicis and Serviceplan will be the clearest signal.
If the self-critique loop and persistent context work as demonstrated, it could reduce the need for specialized AI prompt engineers on creative teams. For individual creators, the $30/month entry point makes this accessible, though the value proposition is strongest for teams managing multi-asset campaigns across channels and markets.
Luma Agents are AI collaborators launched on March 5, 2026 that handle end-to-end creative work across text, image, video, and audio. They are powered by Uni-1, the first model in Luma's Unified Intelligence architecture, and can execute projects from a single creative brief without requiring teams to switch between separate AI tools.
Luma Agents are available through Dream Machine subscription plans starting at $30/month (Plus), $90/month (Pro) with 4x agent usage, and $300/month (Ultra) with 15x agent usage. Enterprise pricing is custom. All plans offer 20% savings with yearly billing and include free trial credits.
Luma Agents coordinate 8+ external models including Luma's own Ray3.14 for video, Google Veo 3 for video with audio, OpenAI's Sora 2 and GPT Image 1.5, ByteDance's Seedream for images, ElevenLabs for voice synthesis, and Kuaishou's Kling 2.6. The system automatically selects the best model for each subtask.
Uni-1 is Luma's foundation model and the first in its Unified Intelligence family. It is a decoder-only autoregressive transformer that interleaves language and image tokens in a shared space, allowing it to reason in text and render in pixels within the same forward pass. This differs from typical AI systems that chain separate models together.
Luma Agents are deployed with global advertising agencies Publicis Groupe and Serviceplan Group, as well as brands including Adidas, Mazda, and Saudi AI company Humain. In one case, Luma Agents turned a $15 million year-long ad campaign into localized multi-market ads in 40 hours for under $20,000.
Unlike using individual AI tools (one for text, one for images, one for video), Luma Agents maintain persistent context across the entire project and automatically coordinate multiple models. The system evaluates and refines its own outputs through self-critique, reducing the manual orchestration work that creative teams currently handle when stitching together outputs from different AI services.