MLA 026 AI Video Generation 2026: Veo, Gemini, Kling, Runway, MiniMax, Sora
Release Date: 07/12/2025
Machine Learning Guide
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Sora is shut down, Google runs two video models, Kling 3 does lip-synced dialogue, and open-weight MiniMax H3 is what you can actually fine-tune. What a usable clip costs, which models do native audio, how reference consistency works, and why the unit of work is the shot. Links Notes and resources at - this one has siblings, each on its own subject and produced the same way. Companion show: for weekly, hands-on coverage of the AI video pipeline, from a first usable clip to scenes that cut together, listen to . - stay healthy & sharp while you learn & code Second...
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info_outlineSora is shut down, Google runs two video models, Kling 3 does lip-synced dialogue, and open-weight MiniMax H3 is what you can actually fine-tune. What a usable clip costs, which models do native audio, how reference consistency works, and why the unit of work is the shot.
Links
- Notes and resources at ocdevel.com/mlg/mla-26
- More OCDevel shows - this one has siblings, each on its own subject and produced the same way.
- Companion show: for weekly, hands-on coverage of the AI video pipeline, from a first usable clip to scenes that cut together, listen to AI Video Generation.
- Try a walking desk - stay healthy & sharp while you learn & code
Second of three episodes on AI media generation, covering Veo, Kling, Runway and MiniMax H3. Four questions: what a usable clip costs, which models generate sound and dialogue natively, how character and shot consistency work now, and where open-weight video fits for a programmer. Ends with the shot-to-scene mental model.
What changed since 2025
Native audio is now the baseline at the frontier: Veo 3.1, Kling 3.0, MiniMax H3 and LTX-2.5 sample audio and frames from one model, so lip movement and sound effects land on the right frame. Clips grew from four or five seconds to eight to fifteen, with a few models advertising thirty. Every serious product ships a reference-conditioning feature (Google "ingredients", Kling "elements", Runway references) that holds a character or object across clips. Image-to-video, not text-to-video, is the professional path: lock the first frame with an image model (see AI Image Generation and Editing), then ask the video model to move it. The old "storyteller vs animator" split resolved in favor of the animators.
Google: Veo 3.1 and Gemini Omni
Google now runs two video models in two places. Veo 3.1 is the developer baseline on the Gemini API and Vertex, in Quality, Fast and Lite tiers, all with native audio; clips are 4, 6 or 8 seconds, and 1080p/4K are upscales of the 8-second clip. It accepts up to three reference images, first-and-last-frame interpolation, and extend in 7-second steps up to 20 times; the Ingredients to Video update added identity consistency, native vertical and 4K upscaling. At Google I/O 2026 Google announced Gemini Omni; Gemini Omni Flash replaced Veo inside the Gemini app and Flow, taking text, image, video or audio as input and supporting conversational video-to-video editing. Per Flow's model matrix it currently tops out at 10 seconds and 720p. All output carries SynthID; the detector portal is still waitlisted.
Sora: shut down
OpenAI launched Sora 2 on September 30, 2025 with native audio and a free iOS app; it then hit a copyright reckoning over opt-out character use, SAG-AFTRA and Bryan Cranston pushback on likeness, and a court order barring the word "Cameo". In March 2026 OpenAI announced a two-stage shutdown: app and web closed April 26, 2026, API closes September 24, 2026. NBC's reporting attributes it to reallocating compute to coding, reasoning and enterprise; Sora continues only as internal world-model research. It stays in the episode as the case study of a strong model without a business.
Kling 3.0
Kuaishou's Kling 3.0 launched globally in March 2026 as a unified image, video and audio model: up to 15 seconds per shot, native 4K, and per the Kling Omni audio guide lip-synced dialogue in five languages with sound effects and ambience generated in the same pass. The control surface is the point: an elements library built from images or short reference video with per-element voice binding, multi-shot generation with continuity, motion transfer from a reference video, motion brush, six-axis camera control, extend and retake. Sold as a credit-based consumer app with commercial rights on paid tiers, plus a first-party API fronted in the West by fal and Replicate. fal's three per-second prices (audio off, audio on, voice control) make the cost of joint audio-video sampling visible.
Runway Gen-4.5 and Aleph
Runway Gen-4.5 shipped December 1, 2025, briefly topped the Artificial Analysis leaderboard, and was candid about causal reasoning, object permanence and "success bias" failures. Runway's differentiator is editing: Aleph is video-to-video (new angles, relighting, add/remove objects, restyle), and per the Runway API changelog Aleph 2.0 takes 2-30 second inputs with up to five keyframes; Act-Two transfers a filmed performance onto a character. Gen-4.5's release notes do not claim native dialogue or effects. The Runway API now also resells ByteDance Seedance 2.5 (30-second clips, large reference budgets, audio) and Wan 3, and studio deals with Adobe, AMC Networks and Lionsgate anchor the enterprise story.
The leaderboard vs the products
As of this recording the Artificial Analysis text-to-video arena (blind pairwise human preference) has none of Veo 3.1, Kling 3.0 or Gen-4.5 in its top five: Wan 3.0, Gemini Omni Flash, fal's post-trained MiniMax H3 Max, MiniMax H3, then Seedance 2.0. The headline products win on control, distribution and enterprise fit, not the taste test.
Open weights and the second tier
Naming matters for Wan: Wan 2.2 is Apache-2.0 open weight (14B MoE needing an 80GB GPU, or a 5B model for a 24GB card) and its GGUF quantizations still trend on Hugging Face; Wan 2.5, 2.7 and 3.0 have no published weights on the Wan-AI Hugging Face org or GitHub and are served as APIs. The open-weight center of gravity is MiniMax H3: 33B, native stereo audio, up to 2K, 4-15 seconds, a community license permitting commercial use, official ComfyUI workflows, and a LoRA and step-distillation ecosystem. LTX-2.5 (19B, native audio, community license free under $10M revenue) and HunyuanVideo-1.5 (8.3B, 14GB with offload, no audio) round out the runnable set; MAGI-2 is a preview with no confirmed license. Elsewhere: Luma shipped Ray3, Ray3 Modify and Ray3.14; Pika pivoted to effects, an agent and MCP on Pika 2.5; ByteDance's Seedance 2.0 and 2.5 ride Dreamina and CapCut distribution; Grok Imagine is a priced API video model outside the top ten; Higgsfield is an aggregator and creative suite, as are fal, Replicate and OpenArt on the developer side.
Consistency and control
Every consistency feature is conditioning under a different name: text, reference images, first frame, last frame, and reference video are slots the denoiser attends to. A first frame is the strongest condition, which is why image-to-video wins. Reference characters (Veo's three images, Kling elements with voice binding, Seedance's dozens of references) fight identity drift, still the main failure mode. Start and end frames bound a camera move and let shots hand off to each other. Explicit camera controls beat prompt text. Video-to-video (Aleph, Luma Modify, Omni Flash, Kling) means fixing a nearly right shot instead of regenerating. Extend compounds drift, so use it to finish a shot, not build a scene. Open models add LoRAs: Musubi Tuner trains adapters for HunyuanVideo and Wan 2.x, and the tooling lags each new frontier open release by months.
Audio in video
Native audio means one sampling process produces waveform and frames, conditioned on each other; Veo 3.1 prices everything as video with audio, Kling 3.0 exposes it as a paid toggle, H3 and LTX-2.5 do it in open weights, Gen-4.5 and Wan 2.2 do not. Post-hoc remains a valid choice: MMAudio generates synchronized sound from finished video with an explicit alignment module, and ElevenLabs sound effects generate timed effects from text. Native dialogue holds for a line or two; longer talking heads still favor performance-driven tools like Act-Two. Voice and music proper are in The AI Media Pipeline.
Cost per usable second
As of this recording, from Gemini API pricing: Veo 3.1 Quality about $0.40/s with audio (720p/1080p), Fast about $0.10/s, Lite about $0.05/s; Gemini Omni Flash is billed per token, working out to roughly $0.10/s of 720p. From Runway API pricing: Gen-4.5 $0.12/s, Aleph 2 $0.28/s with a minimum. From fal: Kling v3 about $0.08/s silent and $0.13/s with audio, Wan 2.5 $0.05/s; Grok Imagine video $0.05-0.08/s. An 8-second Veo Quality shot with audio is a bit over $3; Kling or Gen-4.5 about $1. No vendor publishes success rates; budgeting four generations per usable shot puts a frontier clip with audio at $3-13 and a Fast or open-weight clip under $1. Iterate on the cheap tier, render on the expensive one.
Shot to scene
Every model generates a shot: one continuous take, one camera, one action, 4-15 seconds. A scene is three to eight shots cut together, and continuity is your job: same references in every shot, first and last frames handing off, the same elements or LoRA, one audio bed over the cut. Storyboard as shots, lock first frames with an image model, iterate cheap, render expensive, fix with video-to-video, assemble in an editor. Assembly, voice, music, ComfyUI and driving it from code are the next episode.