The best open source AI video generator in 2026 is LTX-2.5 from Lightricks: current-generation weights, synchronized video and audio from text, image, or video input, and a community license that allows commercial and production use at no cost below $10M in revenue. It is also the only open video model on this list with a download count in seven figures, which tells you something the benchmarks do not.
The rest of the field is smaller than the marketing suggests. Most of the models people call open in 2026 are not: Veo, Kling, Sora, Seedance, Gemini Omni, and every Wan above 2.2 are API-only. We checked each license and repository directly on 2026-08-28, and the checks are reproducible in a browser.
TL;DR
- LTX-2.5 (Lightricks): the pick. Video plus synced audio, text, image, and video inputs, 912,000+ downloads, LTX-2 Community License, free commercially under $10M revenue
- Wan 2.2 (Alibaba): Apache 2.0, the permissive pick, 720p at 24fps, 5-second clips, 24GB VRAM
- Mochi 1 (Genmo) and HunyuanVideo (Tencent): real open weights, but 2024 to 2025 generation quality
- Not open despite what you will read: Wan 2.5, Wan 3.0, Veo 3.1, Kling v3, Sora 2, Seedance 2.5, Gemini Omni
- If you do not own a 24GB-class GPU, hosted is cheaper than the hardware until you are running thousands of clips a month
The list
1. LTX-2.5
License: LTX-2 Community License Agreement. Commercial and production use at no cost under $10M revenue; above that, a paid commercial agreement is required.
The catch: the license is not OSI-open, it is revenue-gated. For an indie team or a studio under the threshold that distinction costs nothing. For a large company it is a procurement conversation, not a download.
LTX-2.5 landed on Hugging Face on 2026-07-23 and was still being updated on 2026-08-27, with 912,729 downloads at the time we checked. The repository tags tell the real story about scope: text-to-video, image-to-video, video-to-video, audio-to-video, text-to-audio, video-to-audio, and the combined text-to-audio-video and image-to-audio-video paths. It ships a separate audio VAE and generates picture and sound together, which is the capability that separated closed 2026 models from open 2025 ones until this release.
The reference configuration in the model card runs 960x544 at 24fps for 121 frames, about 5 seconds. Frame counts must satisfy num_frames % 8 == 1 and both dimensions must be divisible by 32. The card documents fp8 casting and CPU offload for low-VRAM setups rather than publishing a hard minimum, which in practice means it runs on consumer hardware if you are willing to trade speed.
Best for: anyone who wants current-generation output, including audio, without a per-clip meter.
2. Wan 2.2
License: Apache 2.0, the most permissive license on this list.
The catch: it is a 2025 model, and the Wan line went closed above it. Wan 2.5 and Wan 3.0 have no published weights, so this is where the open branch ends.
Wan 2.2 remains the cleanest license story in open video. The Wan2.2-TI2V-5B card states 720p output at 1280x704 or 704x1280, 24fps, 5-second clips, a 24GB minimum VRAM requirement (an RTX 4090 class card), and generation in under 9 minutes on a single consumer GPU. Larger A14B text-to-video and image-to-video variants sit above it, and the Wan 2.2 Animate line for character animation was still receiving uploads on 2026-08-06.
Output quality is honestly a generation behind. Against Kling v3 or Veo 3.1 on the same prompt, the gap shows in lighting subtlety and in how fine detail survives motion. For b-roll, background plates, and drafting, that gap does not matter.
Best for: projects where the license has to be boring, and for fine-tuning, since the community ecosystem around Wan is the largest in open video.
3. Mochi 1 (Genmo)
License: Apache 2.0.
The catch: preview-stage weights from 2025, and no audio.
Mochi 1 is the other genuinely Apache-licensed video model with real adoption. It is worth knowing about mostly as a fallback when a license review rules out revenue-gated terms and Wan does not fit the shot.
4. HunyuanVideo (Tencent)
License: custom Tencent community license, not Apache.
The catch: the license carries regional and use restrictions, and the download numbers on the base repository are small compared to LTX and Wan, which means a thinner ecosystem of tooling and LoRAs.
What is not open, no matter what the listicles say
| Model | Status | Where it runs |
|---|---|---|
| Wan 2.5, Wan 3.0 | No published weights | Alibaba Cloud, fal, hosted platforms |
| Veo 3.1 (all tiers) | Closed | Gemini API, Flow, hosted platforms |
| Kling v3 | Closed | Kling API, hosted platforms |
| Sora 2 | Closed, and the API retires 2026-09-24 | OpenAI Videos API until the shutdown |
| Seedance 2.5 | Closed | Replicate, hosted platforms |
| Gemini Omni Flash | Closed | Gemini API, hosted platforms |
If a page tells you one of these is open source, it is repeating a claim nobody checked. The check takes one request: search the vendor's Hugging Face organization and look for the version number.
The hardware math nobody runs before buying
Self-hosting is free per clip and expensive everywhere else. A 24GB card, an inference stack, CUDA version drift, and the hours you spend on all three. The break-even is higher than enthusiasm suggests.
Concretely: a 5-second 720p clip from the model you would self-host costs 50 credits on the 8frame canvas, and the $19 Starter plan carries 1,000 credits a month. That is 20 clips of exactly the same model, plus every closed model on the same canvas for the shots where open weights are not good enough. A used 4090 is roughly two years of that plan, before electricity and before your time.
Self-hosting wins when you are running thousands of clips a month, when you need to fine-tune on your own material, or when the footage cannot leave your infrastructure. Those are good reasons. "It is free" is not one of them until the volume is real.
FAQ
Can I use open-weights output commercially? Depends on the license, and they differ. Apache 2.0 (Wan 2.2, Mochi 1) is permissive. The LTX-2 Community License allows commercial use at no cost under $10M revenue and requires a paid agreement above it. Tencent's license carries its own restrictions. Read the card for the exact repository you download.
Which open model is closest to closed-model quality? LTX-2.5, and it is not close. It is the only open release generating synchronized audio, which is the feature that defined the 2026 closed models.
Is there an open model with no license restrictions at all? Wan 2.2 under Apache 2.0 is the closest thing. That is the reason to pick it over a newer model with better output.
Do I still need a hosted platform if I self-host? Most teams end up with both: open weights for volume and iteration, hosted closed models for the shots that ship. Running the same prompt through both is the fastest way to find out where your own line is. See best AI video generator 2026 for how the closed field compares.
We host Wan 2.2 at 50 credits a clip and have not added LTX to the canvas yet, so if you want LTX-2.5 today the route is your own GPU or a raw inference provider. For everything else, run the field side by side on 8frame from $19/month. Related reading: is Wan 3.0 open source and open weights vs closed models.