Best AI Video Editors 2026: Runway, Veo, Kling, Luma, Pika

Choosing among AI video editors in 2026 is harder than it looks, because the category moved under everyone's feet. The tool many 2025 rankings put first, OpenAI's Sora, no longer exists as a consumer product. Meanwhile Google's Veo 3.1 generates sound along with picture, Runway released Gen-4.5, and Luma now sells a platform that hosts rival models alongside its own. This guide compares the main options as of October 2026 using each vendor's own pricing and documentation, explains the credit systems that make plans hard to compare, and says plainly where the tools still fail.

The 30-second answer

Every price and model name below comes from the vendor pages we checked in October 2026. These change often, so confirm before you pay.

Tool	Best for	Entry paid plan (monthly billing)	Notable fact
Runway	Controlled, professional workflows	$15, 625 credits	Gen-4.5, announced December 1, 2025
Google Veo 3.1 (via Flow and Gemini)	Clips with generated audio, reference images	Included in Google AI plans, by credits	Native sound, 1080p and 4K output
Kling	Strong motion and photoreal shots	Check Kling's current plan page	Homepage now features Kling 4.0
Luma	One subscription for many models	$30, 10,000 credits	Hosts Veo 3.1, Kling 3.0, and Seedance
Pika	Cheap experiments and social clips	$10, 900 credits	Hosts Pika 2.5 and third-party models
Descript	Editing talking-head video by editing text	$24 monthly ($16 billed annually) per person	AI co-editor called Underlord

If you can pick only one to learn, Runway is the safest default for repeatable work, because its pricing page is transparent about credit costs. If you already pay for a Google AI plan, try Veo inside Flow first, since you may have credits you are not using.

What happened to Sora, and why older rankings are wrong

OpenAI announced on March 24, 2026 that it was shutting down Sora, the TikTok-style app it had launched about six months earlier. TechCrunch reported that downloads had fallen from a November peak of about 3.3 million to about 1.1 million by February, according to Appfigures, and that a planned Disney licensing and investment deal collapsed with the shutdown (TechCrunch).

OpenAI then set a two-stage schedule. The web and app experiences went offline on April 26, 2026, and the Sora API was scheduled to end on September 24, 2026. The same report says Sora continues as a research project focused on world models (The Decoder). We have kept our explainer on what Sora was for history, but it is no longer a tool you can adopt.

The lesson matters beyond Sora. A tool you build a workflow around can disappear on a few weeks' notice, and the exports you did not download go with it. Keep original prompts, source images, and final files in your own storage, and avoid designing a process that only one vendor can run.

How AI video generation works, in plain terms

Most generators in this category start from noise and refine it. Picture a sculptor handed a block of static and told to carve a scene: each pass removes a little randomness and adds a little structure, guided by your text prompt or a reference image. That is the idea behind diffusion models, which are explained in more detail in how diffusion models work. Video adds a hard extra requirement. The model has to keep the same person, the same lighting, and the same physics from one frame to the next, not just produce one good frame.

That requirement explains most of the failures you will see. A still image only has to look plausible. A video has to stay plausible for five, ten, or more seconds while things move, and any inconsistency shows as flicker, drifting faces, or objects that appear and vanish. Runway lists exactly these in its own release notes for Gen-4.5: effects sometimes appear before their causes, objects can unexpectedly vanish or appear across frames, and actions succeed more often than they should (Runway).

How the model reads your prompt is its own topic, covered in how image generators understand prompts. Video tools use similar machinery with a time dimension added.

Generators versus editors

The word "editor" hides a split that matters when you shop. Most tools in this article are generators: they create new footage from a prompt, an image, or a source clip. A smaller group are editors that use AI to change footage you already shot, for example by cutting it according to a transcript. Descript is the clearest example, and traditional editing software such as DaVinci Resolve and Adobe Premiere sits on the other side of the pipeline, where generated clips get trimmed, color-matched, and combined with real footage.

Knowing which job you need decides the shortlist. If you have hours of interview footage to cut, a generator does nothing for you. If you need a four-second establishing shot of a city you did not film, an editor cannot invent it.

Runway: the most transparent workflow tool

Runway announced Gen-4.5 on December 1, 2025. The company says the model improves motion quality, prompt adherence, and temporal consistency, and that it models weight, momentum, and liquid flow better than its predecessor. Runway also reported that Gen-4.5 scored 1,247 Elo on the Artificial Analysis text-to-video leaderboard as of November 30, 2025, ahead of Google Veo 3 at 1,226, Kling 2.5 at 1,225, and OpenAI's Sora 2 Pro at 1,206. Those rankings come from blind human preference votes, but the figures appear in Runway's own announcement, so read them as a vendor claim and note that leaderboards move quickly (Runway).

What sets Runway apart for working creators is that its pricing page states credit costs. Gen-4.5 costs 60 credits per five seconds, and its Aleph 2.0 model costs 140 credits per five seconds. The plans listed in October 2026 were:

Plan	Monthly price	Credits per month	Notes from the pricing page
Free	$0	125, one-time	A selection of models
Standard	$15 ($12 billed annually)	625	Monthly credits reset and do not roll over
Pro	$35 ($28 billed annually)	2,250	Adds Topaz upscaling and Seedance 2.5
Max	$95 ($76 billed annually)	9,500	Up to one month of unused credits rolls over

Source: Runway pricing, checked October 2026. Purchased top-up credits do not expire.

Runway also lists third-party models such as Seedance alongside its own, so it works as a front end as well as a model maker. Its weaknesses are the ones its release notes admit, plus cost: a short clip burns credits quickly, as the arithmetic below shows.

Google Veo 3.1: sound, reference images, and a strong platform

Google DeepMind describes Veo 3.1 as its leading video model. Its headline feature is native audio: it can generate sound effects, ambient noise, and dialogue together with the picture. It supports text-to-video and image-to-video, "ingredients to video" using reference images of a scene, character, or object, first-and-last-frame transitions, scene extension that continues a clip from its last second, and editing operations such as adding or removing objects and outpainting. Output goes up to 1080p and 4K, and every clip is marked with SynthID, Google's invisible watermark for AI-generated media (Google DeepMind).

Google is candid about one limitation: natural, consistent spoken audio, especially for short speech segments, is still in development. The benchmark preferences on the page are Google's own results, last updated October 2025.

Access runs through the Gemini app, Flow (Google's AI filmmaking tool), Google Vids, AI Studio, and the Gemini API. On the Google AI plans page, monthly Flow credits are listed at 200 for AI Plus, 1,000 for AI Pro, 10,000 for the Ultra 5x tier, and 25,000 for Ultra 20x. That page lists no dollar prices or per-clip credit costs, so check both with Google before budgeting (Google AI plans).

Veo is the sensible first test if your video needs voices or ambient sound and you would rather not stitch an audio track together afterward. For that audio-stitching step with other tools, see best AI voice tools.

Kling: a fast-moving challenger

Kling has been a regular name near the top of text-to-video comparisons: Runway's own Gen-4.5 announcement lists Kling 2.5 at 1,225 Elo, just behind Veo 3 at 1,226, in late 2025. Kling's homepage in October 2026 features "Kling 4.0" as its new video model with an audio-visual experience, alongside Kling Image 3.0 for still images (Kling). Luma hosts Kling 3.0 inside its own subscription, which is an easy way to try it without a separate account.

We are not quoting Kling's consumer subscription prices, because credit costs vary by model, resolution, and clip length. Check Kling's own plan page, and note whether the first-month price differs from the renewal price.

One practical caution applies to any vendor, Kling included: companies handling sensitive or client material should review the vendor's data terms and their own procurement policy before uploading footage.

Luma: one subscription, many models

Luma has changed the most of any vendor here. It still makes its own Ray video models, with Ray3.2 and Ray3.14 listed for text-to-video, image-to-video, video-to-video, and extending clips, and Ray3.2 offering HDR and EXR output options. But its pricing page now also lists Veo 3.1, Kling 3.0 and Kling Omni, Seedance, and several others, as well as image models and ElevenLabs audio models (Luma pricing).

Plan	Monthly price	Credits	Annual billing
Plus	$30	10,000	$25 per month
Pro	$90	40,000	$75 per month
Ultra	$300	150,000	$250 per month

Source: Luma pricing page, October 2026. Commercial use is listed as a Plus feature.

The appeal is consolidation. If you want to compare how three different models handle the same prompt, one subscription can do it. The downside is that credit costs differ per model. Luma's page gives samples: Ray3.14 video costs 4 credits per second at Draft quality up to 80 credits per second at 1080p, and Veo 3.1 video costs 140 credits per second. At that Veo rate, the Plus plan's 10,000 credits cover about 71 seconds. Run a small test before committing to a high tier.

Pika: cheap experiments and social clips

Pika's pricing page lists a free tier with no monthly credits (top-up packs only), then Starter at $10 per month for 900 credits, Creator at $35 for 3,150 credits, and Fancy at $95 for 8,550 credits and up. None of the plans carry a watermark, but only Creator and above include a commercial license. The page says all plans include all models, which now include Pika 2.5 alongside third-party video models such as Seedance 2.5 and Wan 3.0 (Pika pricing).

That commercial-license line is the detail most hobbyists miss. A $10 plan that produces watermark-free clips you are not permitted to use in client work is a trap if you are freelancing. Annual billing lowers the monthly equivalents to $8, $28, and $76 for the three paid tiers.

Pika is the low-risk place to learn prompting, because mistakes are cheap. For polished final output, most professionals move to a tool with tighter controls.

Descript: when the video already exists

Descript solves a different problem: editing recorded video by editing its transcript. Its pricing page describes Underlord as an AI video co-editor, with plans from a free tier (one media hour and 100 one-time AI credits) through Hobbyist, Creator, and Business. Per person per month, Hobbyist is $16 billed annually or $24 monthly, Creator is $24 or $35, and Business is $50 or $65 (Descript pricing).

If your footage is podcasts, tutorials, interviews, or screen recordings, this category will save more time than any generator. Transcription accuracy and how it differs by tool is a separate topic, covered in best AI transcription tools.

What credits really buy: the arithmetic

Credit systems hide the real price of a clip. Using Runway's published Gen-4.5 rate of 60 credits per five seconds (12 credits per second), here is what each plan yields if you spend every credit on that model and none on failed generations:

Runway plan	Credits	Gen-4.5 footage	Five-second clips	Approx. cost per clip
Standard ($15)	625	about 52 seconds	10	about $1.44
Pro ($35)	2,250	about 187 seconds	37	about $0.93
Max ($95)	9,500	about 13 minutes	158	about $0.60

The figures are our arithmetic from Runway's listed prices and credit costs, not a vendor quote. On Aleph 2.0 at 140 credits per five seconds, the Standard plan covers only four clips. And in practice you will discard many generations. If one in three clips is usable, your cost per usable clip is about three times the table.

The useful way to think about this is cost per accepted second. A creator who needs 30 seconds of final footage and keeps one clip in four needs about 120 seconds of generation, which exceeds Runway Standard's roughly 52 seconds of Gen-4.5 output. This is why a $15 plan feels generous in a demo and cramped in a real project.

Pika and Luma publish plan-level credit totals and some sample per-generation costs that vary by model, so compare them by running the same three prompts and watching how fast credits drop. Google's Flow credits work the same way. Treat the first week on any new plan as a measurement period, not production.

Runway's Standard plan, at $15 a month, yields about 52 seconds of Gen-4.5 footage: 625 credits at 60 credits per five-second clip. After failed or rejected generations, many creators will end up with well under a minute of usable video per month on that tier.

Prompts that give the model something to work with

The craft of video prompting is mostly specificity. Vague prompts produce generic results because the model fills every gap with the most statistically common choice. Compare "cat playing" with "a gray tabby batting a ball of yarn across a wooden floor, late afternoon light from a window on the left, low camera angle, slow push-in." The second tells the model the subject, the action, the light, the lens position, and the camera movement.

Useful elements to specify:

• Subject and action. One clear subject doing one clear thing works better than a crowded scene.
• Camera. Terms like "wide establishing shot," "slow dolly in," or "handheld" map to patterns the model has seen.
• Light and time of day. "Backlit," "overcast," and "golden hour" change the whole mood.
• Format. State 16:9 or 9:16 if the tool does not default to your target.
• What to avoid. Some tools take a negative prompt; check the interface.

Reference images beat words for anything specific. Veo's "ingredients" feature and the first-and-last-frame controls exist because describing a particular character or a precise transition in text is unreliable. Starting a shot from a still of the previous shot is a common way to keep a character's look steady across clips. The same prompting discipline applies to chat tools, and how to write AI prompts that actually work covers the transferable parts.

Generate several variations of a promising prompt, keep the best, and refine from there. Treat each run as an audition, not a commission.

Building a hybrid workflow

Few professionals ship raw generator output. A common pattern uses AI for the shots that are expensive or impossible to film and human footage for everything else.

1. Plan the sequence on paper. Decide which shots must be real (people speaking, products in hand) and which can be generated (establishing shots, abstract transitions, background plates).
2. Generate short clips. Keep each to a few seconds, because consistency degrades over longer durations and credits are charged per second.
3. Pick the best take and move to an editor. DaVinci Resolve and Premiere import standard video files, so generated clips can sit on the same timeline as camera footage.
4. Match color and grain. Generated footage tends to look cleaner than camera footage; a consistent grade and light grain help blend it.
5. Add sound separately unless you used a tool that generates audio. Voice, music, and effects usually come from other sources.
6. Add text in the editor. Generated text inside video is a known weak spot for image and video models, so put titles and signs in with your editing software rather than relying on the generator.

For voiceover, music, and the other generation steps that surround video, our roundup of AI tools for content creation shows how the pieces fit, and best AI image editing tools covers the still-image side of the same workflow.

What AI video still cannot do reliably

The honest limits list has not changed as much as the marketing suggests.

• Long coherent scenes. Clips are short, and longer sequences are assembled from many of them. Runway's three self-reported issues (effects before causes, objects vanishing, actions too often succeeding) are a good checklist of what to watch for in any tool.
• Consistent characters across shots. Reference-image features help, but the face, hair, and clothing can still drift between generations.
• Speech. Google states that natural, consistent spoken audio is still in development for Veo. Lip-sync quality varies, so check every spoken line.
• Precise physical interactions. Hands, contact between objects, and cause-and-effect are where artifacts concentrate.
• Specific real people and protected characters. Most tools restrict them, for legal reasons covered below.
• Predictable cost. Because outcomes are probabilistic, you pay for attempts, not results.

None of these makes the tools useless. They define the jobs where generation fits: short, visually driven shots where a small error is cheap and a human is reviewing every frame.

Rights, provenance, and the deepfake problem

Three issues belong in any buying decision.

Commercial terms differ by plan and vendor. Pika's page ties the commercial license to Creator and above. Luma lists commercial use as a Plus feature. Runway's pricing page states no commercial terms, so read its terms of service. When a platform hosts third-party models, the model owner's terms can apply on top of the platform's.

Provenance marking is spreading. Google marks Veo output with SynthID. Industry standards groups are also working on provenance metadata. The Coalition for Content Provenance and Authenticity (C2PA) develops open technical standards for tracing where digital media comes from and verifying its authenticity (C2PA). Expect platforms and clients to ask where footage came from, and expect that watermarks and metadata can be stripped by determined people, so they are a signal, not proof.

Likeness and copyright are unsettled. The Disney deal that fell apart with Sora's shutdown shows how seriously rights holders treat character licensing. The legal picture for training data and outputs is still moving; our overview of AI art, copyright, and ethics explains the open questions, and what deepfakes are and how they work covers the misuse side. Do not generate real people's likenesses without their consent, and keep records of what you generated and with which tool.

Which tool fits which person

A solo YouTuber who needs occasional B-roll. Start with Pika or the cheapest Runway tier for experiments, and budget by cost per accepted second. Keep a library of the clips you like so you are not paying to regenerate.

A marketer producing product and social clips. Runway's transparent credit costs and Luma's multi-model access are the strongest fits. Verify the commercial license in writing for your plan.

A filmmaker doing pre-visualization. Veo's reference-image and first-and-last-frame controls, or Runway's keyframing, give more directorial control than prompt-only tools.

A podcaster or educator with recorded footage. Descript will help more than a generator. Add generated clips only for cutaways.

Someone who wants to compare models without several subscriptions. Luma's hosted models, or Runway's, let you test the same prompt across engines.

A team that cannot tolerate vendor risk. Use more than one tool, store your own sources and outputs, and avoid single-vendor pipelines, given what happened to Sora.

For a wider view of paid versus free choices across categories, see AI chatbot pricing in 2026 and AI tools for productivity.

Frequently asked questions

Q: Which AI video tool is best in 2026? A: There is no single winner. Runway has the most transparent pricing and controls, Google's Veo 3.1 generates native audio, Luma bundles several models into one subscription, Kling is a strong motion-focused challenger, and Pika is the cheapest place to experiment. Leaderboards shift often, so test your own prompts.

Q: Is OpenAI Sora still available? A: No. OpenAI announced the shutdown on March 24, 2026. The web and app experiences ended on April 26, 2026, and the API was scheduled to end on September 24, 2026. Sora continues as a research effort on world models, not a product.

Q: Can I use AI-generated video commercially? A: It depends on the plan and the tool. Pika's page lists commercial licenses only for Creator and above, and Luma lists commercial use as a Plus feature. Runway's pricing page does not state it, so read the terms of service and any third-party model terms.

Q: How much does AI video really cost? A: Plans run from about $10 to $95 a month for Pika and Runway, with Luma's tiers at $30, $90, and $300, but credits are the real limit. On Runway Standard, Gen-4.5 yields about 52 seconds of footage for $15, before discarded attempts.

Q: Do AI video tools generate sound? A: Google's Veo 3.1 does, including effects, ambient noise, and dialogue, though Google says consistent spoken audio is still in development. For other tools, check each vendor's current feature list and plan to add voice, music, and effects separately.

Q: Are AI video editors the same as AI video generators? A: No. Generators create new footage from prompts or images. Editors such as Descript use AI to change footage you already have, for example by editing a transcript. Many workflows use both.

Q: Can people tell when a video is AI-generated? A: Sometimes. Some tools embed invisible marks, such as Google's SynthID, and standards efforts like C2PA aim to attach provenance data, but both can be removed or missing. Treat them as signals, not proof.

The takeaway

The most useful thing to understand about AI video in late 2026 is how quickly the ground shifts. A market leader in 2025 was gone by spring, platforms now host their competitors' models, and the plan that looked cheap turns out to buy under a minute of footage. The tools are genuinely useful for short, visual, low-stakes shots, and they are still weak at speech, long scenes, and keeping a character consistent. Choose by the job, measure cost per accepted second rather than price per month, keep your sources and outputs in your own hands, and check the license before a clip goes into client work.

Sources

All pricing and feature details were checked in October 2026 and can change without notice.

• Runway. Introducing Runway Gen-4.5 and pricing.
• Google DeepMind. Veo. Google. Google AI plans.
• Luma AI. Pricing.
• Pika. Pricing.
• Kling AI. Homepage.
• Descript. Pricing.
• TechCrunch (March 24, 2026). OpenAI's Sora was the creepiest app on your phone, now it's shutting down.
• The Decoder. OpenAI sets two-stage Sora shutdown.
• C2PA. About.