By PromptVideo

Best AI video generator, by what you're making

There is no single best model. Each format demands different things: lip sync, cost per finished minute, character consistency, take length. The winner changes with the demand. Thirty formats, reviewed daily.

Reviewed
11 models tracked
30 formats covered
No vendor pays for placement

If you only read one thing

The calls that hold across most formats below
Best overall

Gemini Omni Flash 1.1

Leads blind voting on both text-to-video arenas while costing roughly a quarter of the premium tier, and its physics grounding shows up as motion that holds together. Held back by hard limits: ten seconds maximum and only two aspect ratios.

Best value

MiniMax H3

The lowest entry rate here at $0.08 per second, and simultaneously the top-ranked image-to-video model, an unusual combination. Reaches 4K at $0.16. The trade is faces and physics, so it is wrong for hero shots.

Worth watching

Seedance 2.5

The only model producing a genuine thirty-second take with fifty reference inputs, which makes it the one real option for dialogue-driven narrative. Not the overall pick: it ranks below its own predecessor in blind voting and caps at 720p.

Pick by what you're making

Each format is mapped to what it actually demands, then matched to the model that leads on those demands.

Short-form social

Best for Social Media: Gemini Omni Flash 1.1

Why Gemini Omni Flash 1.1 for social media

For general social posting, Gemini Omni Flash 1.1 is the pick because this format is decided by how many attempts you can afford, not by how good a single generation is. It leads blind voting on both text-to-video arenas while costing roughly a quarter of the premium tier, which means you can discard four generations out of five and still come in cheap. Three to ten seconds covers every clip the format needs, and 9:16 is a native output rather than a crop.

How it behaves in practice

Expect the first usable result within two or three attempts on a clearly described shot. The physics grounding shows up as motion that holds together through a gesture, which is what stops a two-second clip reading as uncanny before the viewer scrolls past. Turnaround is fast enough to iterate inside a single working session.

Where it falls short

Ten seconds is a hard ceiling and the only aspect ratios are 16:9 and 9:16. If a platform wants 4:5, or a concept needs a longer unbroken beat, this model cannot do it and you move to Seedance 2.0.

Notes on the alternatives

MiniMax H3 costs less again and is the better choice when volume matters more than motion quality. Seedance 2.5 is the wrong shape entirely here: you pay nearly four times per second for a thirty-second capability the format never uses.

Best for YouTube Shorts: MiniMax H3

Why MiniMax H3 for youtube shorts

For YouTube Shorts, MiniMax H3 wins on arithmetic. A forty-five second Short is typically eight to twelve generated clips, so the per-second rate compounds in a way it does not for a single hero shot. At $0.08 per second the whole piece runs a few dollars instead of thirty. It also currently leads the image-to-video arena, which means you can drive shots from stills you already control rather than gambling on text alone.

How it behaves in practice

Plan on generating more clips than you need and cutting down. Prompt adherence is the weak point, so describing one clear action per clip works better than a compound description. Driving from a reference still is noticeably more reliable than pure text when a specific look has to repeat.

Where it falls short

Faces do not survive close inspection and physics trail Seedance under fast motion. In a fast-scrolling feed that rarely matters. In a clip someone pauses on, it does.

Notes on the alternatives

Gemini Omni Flash is the upgrade when a single shot has to carry the piece. Kling O3 4K is the wrong tool here, charging $0.42 a second for resolution the platform re-compresses away.

Best for TikTok: Gemini Omni Flash 1.1

Why Gemini Omni Flash 1.1 for tiktok

For TikTok, Gemini Omni Flash 1.1 is the pick because human motion has to survive about two seconds of scrutiny before a scroll decision, and physical plausibility is exactly what this model is built around. Native audio matters less here than almost anywhere else, since trending sound usually replaces whatever the model generates, so paying an audio premium is money thrown away.

How it behaves in practice

The workflow is volume: chase a format with eight or ten attempts and keep the one that lands. At roughly $0.125 a second that is affordable in a way the premium tier is not. Describe the camera and the action plainly rather than writing atmosphere.

Where it falls short

Ten seconds maximum, and only two aspect ratios. Anything that needs a longer continuous beat has to be cut around or generated elsewhere.

Notes on the alternatives

MiniMax H3 Max Turbo is worth a look when you are producing controlled variations of one proven format, since its prompt adherence is tighter. Avoid Veo 3.1 on the standard audio tier: $0.40 a second for a track that gets muted.

Best for Instagram Reels: Seedance 2.0

Why Seedance 2.0 for instagram reels

For Instagram Reels, Seedance 2.0 is the pick because the polish floor sits higher than on TikTok and faces are usually the subject. It has the strongest physics and human rendering in the affordable tier, and the fast path at $0.2419 a second keeps that within reach. Reference inputs hold a look across a series, which matters once a feed has to look like one account rather than thirty experiments.

How it behaves in practice

It is forgiving about prompt structure in a way Seedance 2.5 is not, so a loosely written description still returns something usable. Four to fifteen seconds covers the format, and the 1080p tier is there when a piece is going to be reused as an ad.

Where it falls short

It costs roughly twice what the budget tier does. On clips where nobody is on camera, that premium buys very little.

Notes on the alternatives

Gemini Omni Flash is cheaper and scores higher in blind text-to-video voting, so it is the better call on non-human shots. Steer clear of the MiniMax H3 open-weight build here: its licence restricts distribution in the US, EU, UK and South Korea, which is disqualifying for public posting.

Best for Memes: MiniMax H3

Why MiniMax H3 for memes

For memes, MiniMax H3 at 768p is the pick for a reason that is almost a joke in itself: the artifacts that disqualify it from client work are frequently the point. Eight cents a second is the lowest rate available, and the format has no quality floor to speak of.

How it behaves in practice

Generate freely and pick the strangest result. Prompt adherence being loose actually helps, since accidental outcomes are often funnier than intended ones.

Where it falls short

Nothing here is production grade. If a meme unexpectedly becomes a brand asset, it will need regenerating on a better model.

Notes on the alternatives

LTX-2.5 Fast at $0.09 a second is effectively equivalent. Skip anything premium: Seedance 2.5 costs roughly fifteen times as much for a format nobody watches twice.

YouTube and long-form

Best for YouTube Videos: LTX-2.5 Fast

Why LTX-2.5 Fast for youtube videos

For long-form YouTube, LTX-2.5 Fast is the pick because the economics of the format are unlike anything else on this page. A ten minute video needs minutes of footage, not seconds, so the per-second rate is the whole decision. At $0.09 a second with clips running to twenty seconds, a full episode of B-roll stays in double digits. Native audio is close to irrelevant here, because the voiceover is recorded separately, which means paying an audio premium is paying for the one capability the format discards.

How it behaves in practice

Open weights are the second reason. You can LoRA-train a house look once and reuse it, so episode forty matches episode one. No prompt-only workflow achieves that consistency over a long run, and consistency is what makes a channel look like a channel.

Where it falls short

Per-shot quality is below the frontier models. On a hero shot that opens a video, generate that one elsewhere and use LTX for everything behind the narration.

Notes on the alternatives

MiniMax H3 is comparable on price and stronger from stills. Veo 3.1 with audio is the clearest mistake available here, charging a premium specifically for sound you will strip out.

Best for Faceless YouTube Channels: LTX-2.5 Fast

Why LTX-2.5 Fast for faceless youtube channels

For faceless channels, LTX-2.5 Fast is the pick because the format removes the axis where cheap models fail. There are no faces to hold together, no lip sync, no character continuity, so the money goes entirely to volume. Twenty second clips cut your generation count roughly in half against ten-second models, which matters when you are producing several videos a week.

How it behaves in practice

Batch generation and a trained style are the two levers. Once a LoRA is in place the look holds across an entire back catalogue, which is the difference between a channel and a folder of clips.

Where it falls short

Output is functional rather than remarkable. If the channel is competing on visual quality rather than volume and topic, this is the wrong end of the trade.

Notes on the alternatives

MiniMax H3 at 768p is a cent cheaper and slightly better from stills. Seedance 2.5 is the wrong purchase entirely: its reference locking exists to hold characters this format does not have.

Best for Podcast Clips: MiniMax H3

Why MiniMax H3 for podcast clips

For podcast clips, MiniMax H3 is the pick because this is an image-to-video problem rather than a text-to-video one. The footage already exists; generation is supporting material. H3 currently leads the image-to-video arena, so inserts and backgrounds derive from real frames rather than being invented, and at $0.08 a second you can afford one per clip.

How it behaves in practice

The practical workflow is animating stills you pull from the episode, or generating a background bed that sits behind captions. Neither needs the model to invent a person, which is where cheap models come apart.

Where it falls short

It cannot help with the speaker footage itself, and it will not fix bad source audio or lighting. It is an accessory to an edit, not a replacement for one.

Notes on the alternatives

Gemini Omni Flash 1.1 has an edit endpoint that modifies existing video by instruction, which is a genuinely different capability worth testing on this format. Text-to-video-only workflows are the thing to avoid, since they cannot see your footage at all.

Advertising and commerce

Best for Ads: Seedance 2.0

Why Seedance 2.0 for ads

For advertising generally, Seedance 2.0 is the pick because ads get watched full screen and often paused, which exposes every failure mode that hides in a scrolling feed. It has the strongest physics and human rendering below the premium tier, a path up to 4K, and reference inputs that keep a campaign looking like one campaign.

How it behaves in practice

It is noticeably forgiving about prompt structure, which shortens the distance between a creative brief and a usable frame. The fast endpoint at $0.2419 a second is about twenty percent below standard on the same architecture, and is usually indistinguishable at feed resolution.

Where it falls short

It is not the cheapest option, and on concepts with no people in them you are paying for capability you do not use.

Notes on the alternatives

Gemini Omni Flash scores higher in blind text-to-video voting and costs less, so it is the better pick on product-only or abstract concepts. MiniMax H3 should be avoided for hero shots: facial distortion that passes on mobile will not survive a client review.

Best for Facebook Ads: MiniMax H3 Max Turbo

Why MiniMax H3 Max Turbo for facebook ads

For Facebook ads, MiniMax H3 Max Turbo is the pick because the format burns creative. You are not making one video, you are making twenty controlled variations of one concept and letting the platform decide. That makes prompt adherence more valuable than peak quality, and the fal post-trained variant buys exactly that at close to base H3 pricing.

How it behaves in practice

The workflow is systematic rather than creative: hold the concept fixed and vary one element per generation. Adherence is what makes that possible, because a model that reinterprets the brief on every run produces twenty different ads rather than twenty variants.

Where it falls short

It inherits H3's weaknesses on faces and physics. For a talking-person ad, this is the wrong model and UGC-oriented tools are the right ones.

Notes on the alternatives

Seedance 2.0 Fast is the step up when a variant needs a person in it. Kling O3 4K is the clearest waste of money here: 4K on a platform that transcodes aggressively buys nothing.

Best for UGC Ads: Happy Horse 1.1

Why Happy Horse 1.1 for ugc ads

For UGC ads, Happy Horse 1.1 is the pick because lip sync is not a feature of this format, it is the entire job. The model matches mouth movement across English, French, Spanish, Turkish, Japanese and others at $0.14 a second, and three to fifteen seconds covers a standard read. Polish is actually a negative here, which removes the usual reason to pay more.

How it behaves in practice

Write the spoken line directly into the prompt with timing cues; the 2,500 character window is enough for a shot-by-shot script. The multilingual coverage means one script becomes five markets without recasting, which is where the real saving sits.

Where it falls short

Fifteen seconds is the ceiling, so longer reads have to be cut across generations or moved to Seedance 2.5. Voice casting is not fully controllable, and the model sometimes assigns an accent you did not ask for.

Notes on the alternatives

Seedance 2.5 handles reads longer than fifteen seconds in one take, which is worth its cost when a script cannot be broken. Avoid any model without native lip sync entirely: post-hoc sync is visible, and visible sync kills the authenticity the format depends on.

Best for Product Demos: FLUX 3

Why FLUX 3 for product demos

For product demos, FLUX 3 is the pick because of how it is billed rather than how it scores. A dedicated draft endpoint returns a cheap preview and holds it in a reusable cache you can promote to full quality, which is the right economics for a format that is mostly iteration. You refine a specific motion until it is exactly right, then pay full rate once.

How it behaves in practice

Twenty second clips and keyframe control handle deliberate product moves in a way that free-running generation does not. First-last-frame control is particularly useful when a demo has to start and end on defined states.

Where it falls short

Faces are not its strength, and it has no particular advantage on physically complex motion. It is a controlled-motion tool, not a spectacle tool.

Notes on the alternatives

LTX-2.5 Pro exposes eight named camera moves, which is a different and sometimes better route to the same control. Seedance 2.5 is a poor fit: expensive iteration is the wrong shape for a format built on iteration.

Best for Product Videos: Seedance 2.0

Why Seedance 2.0 for product videos

For product videos, Seedance 2.0 is the pick because the asset lands on a product page and gets scrutinised at full size. The 1080p and 4K tiers plus a high bitrate mode give you something that holds up when someone expands it, and reference inputs keep the product itself consistent across a set.

How it behaves in practice

Reference-driven generation is the important part of the workflow: label your inputs explicitly in the prompt so the model treats your product as the subject rather than as inspiration. Nine images, three video clips and three audio files are available on the reference endpoint.

Where it falls short

The 1080p tier is a significant step up in price from 720p, so decide the delivery resolution before you start generating rather than after.

Notes on the alternatives

Kling O3 4K is worth the flat $0.42 a second when the deliverable genuinely has to be native 4K with no upscaling stage. Avoid 768p tiers: the savings get spent on upscaling and you can still see it.

Best for Amazon Listing Videos: MiniMax H3

Why MiniMax H3 for amazon listing videos

For Amazon listing videos, MiniMax H3 is the pick for a reason that is as much compliance as quality: the product in the video has to be the actual product. This is an image-to-video job, and H3 currently leads that arena, so you animate real product photography instead of asking a model to imagine your SKU.

How it behaves in practice

Work from your existing listing images. Short clips, plain motion, and the product held steady in frame will pass review far more reliably than anything generated from a text description.

Where it falls short

Artifacts appear in close texture work, which is exactly where a buyer looks. Keep the camera moving slowly and avoid extreme close-ups.

Notes on the alternatives

Gemini Omni Flash 1.1 reference-to-video retains appearance across generations and is worth testing for multi-shot listings. Pure text-to-video is the thing to avoid: it will invent a plausible product that is not yours, which is a listing violation as much as a quality problem.

Teaching and instruction

Best for Explainer Videos: LTX-2.5 Pro

Why LTX-2.5 Pro for explainer videos

For explainers, LTX-2.5 Pro is the pick because these are almost never one-offs. A series needs one visual language, and open weights let you LoRA-train that language once and reuse it rather than re-describing it every prompt and drifting. Native multishot carries lighting and style across cuts inside a single generation.

How it behaves in practice

At $0.12 a second for 720p the per-minute cost stays sane for pieces that run two to four minutes. Eight named camera moves give you deliberate motion without fighting a text description for it.

Where it falls short

Setting up a trained style is real work before you get any output. For a single explainer that will never be repeated, the setup cost is not worth it.

Notes on the alternatives

FLUX 3's draft-then-promote workflow is better for a one-off where you are still finding the concept. Premium audio tiers are pointless here, since narration is recorded separately.

Best for Training Videos: Happy Horse 1.1

Why Happy Horse 1.1 for training videos

For training video, Happy Horse 1.1 is the pick because most training has a presenter and most organisations need it in more than one language. Genuine lip sync at $0.14 a second across nine aspect ratios covers both, and one script becomes several locales without recasting or rebooking anyone.

How it behaves in practice

Presenter segments generate well from a written script with timing cues. Non-presenter segments are cheaper elsewhere, so a mixed pipeline usually beats doing everything on one model.

Where it falls short

Fifteen seconds per generation means a long module is assembled from many clips, and voice consistency across those clips needs checking.

Notes on the alternatives

LTX-2.5 Fast handles the illustrative segments at a third of the cost. Avoid 4K tiers: nobody watches compliance training at 4K, and the budget is better spent on more modules.

Best for Employee Onboarding: Happy Horse 1.1

Why Happy Horse 1.1 for employee onboarding

For onboarding, Happy Horse 1.1 is the pick because the language coverage is the whole job for any company with offices in more than one country. Mouth movement matching French, Spanish, Turkish or Japanese is what separates a localized onboarding flow from a subtitled one, and subtitled onboarding gets skipped.

How it behaves in practice

Build a single presenter description and reuse it across every module so a new hire sees the same person throughout. Write the script into the prompt body rather than relying on a separate audio step.

Where it falls short

It does not lock a presenter's identity as firmly as a reference-driven model, so appearance can drift between modules generated weeks apart.

Notes on the alternatives

Seedance 2.5's reference locking holds one presenter across a long module set, which is worth its higher rate for a flagship programme. Avoid Kling O3 4K here: its audio covers English and Chinese only and translates everything else to English, which silently breaks a localized flow.

Best for Online Courses: LTX-2.5 Fast

Why LTX-2.5 Fast for online courses

For online courses, LTX-2.5 Fast is the pick because a course is measured in hours, not minutes, and at that runtime the per-second rate is the only thing that matters. At $0.09 a second it is the one rate that survives the arithmetic, and twenty second clips reduce how much assembly each lesson needs.

How it behaves in practice

A trained style keeps lesson twenty looking like lesson one, which matters more for perceived production value than any individual shot does.

Where it falls short

Presenter segments are not its strength, so a course that leans on a talking head needs a second model in the pipeline.

Notes on the alternatives

Happy Horse 1.1 covers the presenter portions well and combines cleanly with this. Seedance 2.5 is the trap to avoid: at roughly five times the per-second rate, a single module can cost more than the course earns.

Best for Whiteboard Videos: LTX-2.5 Pro

Why LTX-2.5 Pro for whiteboard videos

For whiteboard video, LTX-2.5 Pro is the pick because the format is defined by a single consistent drawing style and open weights are the only reliable way to hold one. Train the look once and it persists across an entire library rather than shifting every time you rewrite a prompt.

How it behaves in practice

Expect to spend the first session on the style rather than on content. After that, generation is fast and predictable, which is the opposite of the usual trade.

Where it falls short

Line work is less crisp than a model tuned for stylized output, and complex illustrations still drift.

Notes on the alternatives

Kling O3 4K holds line clarity better than anything else here, but $0.42 a second is steep for a style that gains nothing from 4K. Photoreal-tuned models are the wrong family entirely and you will fight their bias on every generation.

Best for Fitness Videos: Seedance 2.0

Why Seedance 2.0 for fitness videos

For fitness, Seedance 2.0 is the pick because this format asks for the single hardest thing current models do: fast, complex, repetitive human motion. Seedance has the strongest physics available below the premium tier, which matters more here than in any other format on this page.

How it behaves in practice

Shots that hold the camera still and keep the movement in the centre of frame survive best. Slower movements generate far more reliably than explosive ones.

Where it falls short

Be honest with yourself about this category. Every current model warps limbs under fast athletic motion, and no upscaler removes it. For anything demonstrating correct form, film it. Generation belongs in the surrounding material, not in the instruction itself.

Notes on the alternatives

Gemini Omni Flash has physics grounding as an explicit design point and is worth testing head to head. Avoid MiniMax H3 for close-up form work: artifacts appear exactly where the viewer is looking.

Story and entertainment

Best for Short Films: Seedance 2.5

Why Seedance 2.5 for short films

For short films, Seedance 2.5 is the pick because it is the only model that addresses the two things that actually break narrative work: identity drift and cut-up dialogue. Fifty reference inputs across images, video and audio is what holds a character and a location together over a two minute piece, and without that locking every model on this list hallucinates. Thirty second takes let a dialogue scene breathe rather than being cut around a model limit.

How it behaves in practice

Reference discipline is the whole workflow. Two character portraits and one location image is enough to carry a short, and skipping that step is the most common reason people conclude the model is worse than it is. Prompts want structuring as consecutive timed stages with one main change per stage; loose conversational paragraphs produce broken output.

Where it falls short

The 720p ceiling makes an upscaling pass mandatory for finished work. Coherence degrades noticeably after roughly the fifteen second mark, so the full thirty is not reliably usable, and fast action still produces morphing that no upscaler removes. It also ranks slightly below Seedance 2.0 in blind text-to-video voting, which tells you the advantage is duration and control rather than per-shot quality.

Notes on the alternatives

Seedance 2.0 wins on any individual shot and costs less, so a film cut in short takes is genuinely better off there. Any model without reference locking should be avoided outright for narrative work.

Best for Trailers: Seedance 2.0

Why Seedance 2.0 for trailers

For trailers, Seedance 2.0 is the pick because trailer grammar is two-second shots and a lot of them, which plays directly to a model with the best physics in its price tier and a route to 4K. You need twenty distinct impressive moments, not one sustained scene.

How it behaves in practice

Generate far more shots than the cut requires and select ruthlessly. Short durations are where every model is strongest, so this is one of the few formats where current technology genuinely delivers.

Where it falls short

Holding a consistent world across twenty shots takes reference discipline that the format's speed tends to discourage.

Notes on the alternatives

Veo 3.1 at true 4K is worth it when the trailer plays somewhere large. Seedance 2.5 is the wrong instinct here: long unbroken takes are the opposite of what this format is made of.

Best for Music Videos: LTX-2.5 Fast

Why LTX-2.5 Fast for music videos

For music videos, LTX-2.5 Fast is the pick because a track runs three to four minutes and native audio is worth exactly nothing, since the audio already exists. Twenty second clips at $0.09 a second make a full runtime affordable, and a trained style holds one visual identity across the whole piece. The included audio simply goes unused, which costs you nothing.

How it behaves in practice

Cut to the track first and generate to the cut, rather than generating freely and trying to edit to music afterwards. Twenty second clips give you room to land on a beat.

Where it falls short

Per-shot quality is below the frontier. For a single hero moment, generate that one elsewhere.

Notes on the alternatives

Kling O3 4K suits stylized work that has to land at 4K, at nearly five times the rate. Avoid any model priced with an audio premium: you are paying for a track you already have.

Best for Lyric Videos: MiniMax H3

Why MiniMax H3 for lyric videos

For lyric videos, MiniMax H3 is the pick because the model's only job is a moving background. At $0.08 a second it is the cheapest source of usable backdrops, and 768p is entirely adequate behind typography.

How it behaves in practice

Generate loopable, low-detail backgrounds and set the type in an editor. Simple motion beats complex motion here, since anything busy competes with the words.

Where it falls short

It cannot do the part people expect it to do.

Notes on the alternatives

LTX-2.5 Fast is equivalent for a cent more. The thing to avoid is relying on any current model to render legible lyrics: every one of them mangles sustained on-screen text, and there is no prompt that fixes it. Generate the background, set the type in After Effects or Premiere.

Best for Animation: Kling O3 4K

Why Kling O3 4K for animation

For animation, Kling O3 4K is the pick because it produces native 4K in a single pass with no upscaling stage, and specifically holds line clarity on cel-shaded and painterly looks where photoreal-tuned models smear. Multi-shot prompting builds sequenced cuts inside one generation.

How it behaves in practice

Passing a list of prompts through the multi-shot parameter lets the model plan the cuts or follow yours. Note that 4K mode runs on one server region, which affects queue times.

Where it falls short

The flat $0.42 a second applies whether you use audio or not, so there is no cheap tier to iterate on. Native audio covers English and Chinese only.

Notes on the alternatives

LTX-2.5 Pro with a trained style is a third of the price and better for a long series. Photoreal-tuned models should be avoided: you will spend every prompt fighting their bias.

Best for Cartoons: LTX-2.5 Pro

Why LTX-2.5 Pro for cartoons

For cartoons, LTX-2.5 Pro is the pick because a cartoon lives or dies on whether the character is the same character in episode twelve. LoRA training on open weights is the only reliable way to achieve that, and prompt-based description is not a substitute. Native multishot then carries that character across cuts within a generation.

How it behaves in practice

Invest in the character LoRA before producing anything. Once it exists, episodes become fast and cheap in a way that prompt-driven workflows never become.

Where it falls short

Line work is softer than a model tuned specifically for stylized output, and the up-front training effort is real.

Notes on the alternatives

Kling O3 4K produces crisper stylized frames if you can absorb the rate. Reference-free workflows are the failure mode to avoid: your character will be a different character by episode three.

Best for Anime: Kling O3 4K

Why Kling O3 4K for anime

For anime, Kling O3 4K is the pick because it is the one model here explicitly strong on anime and cel-shaded output at native 4K, where line work survives instead of softening. The style is unforgiving and most models approximate it rather than producing it.

How it behaves in practice

Multi-shot prompting handles sequences, and native 4K means no upscaling stage to blur the linework you generated the frame for.

Where it falls short

The flat rate is the highest on this page, and audio is English and Chinese only, with other languages translated to English rather than spoken.

Notes on the alternatives

LTX-2.5 Pro with an anime LoRA is a third of the price and closes much of the gap for a series. Veo 3.1 is the wrong family: its photoreal bias fights the style on every generation.

Raw material and B-roll

Best for B-roll: MiniMax H3

Why MiniMax H3 for b-roll

For B-roll, MiniMax H3 at 768p is the pick because the format strips out every axis where budget models fail. No faces, no dialogue, no continuity requirement, so eight cents a second is simply the floor and there is no reason to pay more.

How it behaves in practice

Generate in batches around a theme and keep a library. Simple compositions with one clear subject work far more reliably than busy scenes.

Where it falls short

It will not produce a shot anyone remembers. That is usually correct for B-roll, which exists to sit under narration.

Notes on the alternatives

LTX-2.5 Fast is a cent more and offers longer clips. Avoid audio-enabled tiers: B-roll goes under a mix.

Best for Stock Footage: LTX-2.5 Fast

Why LTX-2.5 Fast for stock footage

For stock footage, LTX-2.5 Fast is the pick on licensing before quality, because when the output is the product you are selling, the licence matters more than the leaderboard position. Open weights with a workable commercial path, plus 4K available at $0.30 a second, is the right combination for footage intended for redistribution.

How it behaves in practice

Generate at the resolution you intend to sell at. Twenty second clips give buyers usable room to cut from.

Where it falls short

Per-shot quality sits below the frontier models, which matters more when the clip is the deliverable rather than a supporting element.

Notes on the alternatives

Seedance 2.0 produces better individual shots if your licensing position allows it. The MiniMax H3 open-weight build is the specific thing to avoid here: its licence restricts distribution in the US, EU, UK and South Korea, which is precisely the wrong constraint for footage you intend to distribute.

Best for Travel Videos: LTX-2.5 Fast

Why LTX-2.5 Fast for travel videos

For travel video, LTX-2.5 Fast is the pick because landscapes are what inexpensive models handle well, so the budget goes to volume rather than to capability you do not need. No people means the hardest constraint disappears, and $0.09 a second with twenty second clips covers a full piece cheaply.

How it behaves in practice

Wide, slow, static-camera shots generate most reliably. Fast drone-style motion is where artifacts appear.

Where it falls short

Recognisable real locations are unreliable. A generated version of a famous place will read as wrong to anyone who has been there.

Notes on the alternatives

MiniMax H3 reaches 4K at $0.16 a second for a hero landscape. Audio tiers are wasted here, since location sound gets replaced in the edit anyway.

Checkable facts, side by side

Things you can verify yourself. Judgment calls stay in the sections above.

ModelMax takeNative audioResolutions Entry price / secConsistency controlsNotable constraint
Gemini Omni Flash 1.110sYes720p~$0.125Reference-to-video16:9 and 9:16 only
MiniMax H315sYes768p / 2K / 4K$0.08Omni referencesOpen build restricts distribution in US, EU, UK, KR
MiniMax H3 Max Turbo15sYes768p / 2K / 4K~$0.08Omni referencesPost-trained variant; stronger prompt adherence
Seedance 2.015sYes480p to 4K$0.2419 (fast)9 image / 3 video / 3 audioNone
Seedance 2.530sYes480p / 720p~$0.2205 (480p)50 references720p ceiling; drift past ~15s
FLUX 320sYes720p / 1080p$0.17Keyframes, first-last-frameDraft endpoint with reusable cache
LTX-2.5 Fast20sYes720p to 4K$0.09Open weights, LoRANone
LTX-2.5 Pro10sYes720p / 1080p$0.12Open weights, LoRA, multishotNone
Happy Horse 1.115sYes720p / 1080p$0.14NoneMultilingual lip sync
Veo 3.18s (extends to ~148s)Optional720p to 4K$0.10 (fast, no audio)Extension chainingSynthID watermark cannot be disabled
Kling O3 4K15sYesNative 4K$0.42 flatMulti-shot promptingAudio is English and Chinese only

Rates reflect one provider's published pricing and vary elsewhere; check before budgeting. Spot something out of date? Tell us and we will correct it.

How a pick gets made

Judgment, not scores

These are judgment calls made by our team, not benchmark numbers. We do not run a lab and we do not publish a scoring formula, because a single number averaged across every use case hides the thing that actually decides your choice. A model that wins on cinematic quality can be the wrong answer for a format where cost per finished minute is the binding constraint.

Instead, each format is mapped to what it demands, listed beside every pick. The model that leads on those specific demands wins that format, and the same model can win one section and be named as the thing to skip in the next.

The four inputs

Hands-on generation in our own production work carries the most weight. Public leaderboards come second, primarily the blind-vote arenas run by Arena and Artificial Analysis, which are useful precisely because voters cannot see which model made which clip. Specifications are read from provider documentation rather than marketing pages. Field reports from people running these tools daily fill in the failure modes that only appear at volume.

When the inputs disagree

Hands-on results decide it. Leaderboards measure preference on a single generation from a single prompt, which is a genuinely useful signal and an incomplete one: it says nothing about whether a model holds a character across twelve shots, what it costs to produce four minutes, or whether its licence permits what you intend to do. Seedance 2.5 sitting below Seedance 2.0 in blind voting while remaining the right pick for short films is the clearest example of that gap.

What this page is not

It is not a benchmark, not a controlled study, and not exhaustive. It does not cover every model released, and models we have not used enough to have a view on are left out rather than ranked on specifications alone. Where a format has no good answer yet, we say so, with fitness the clearest current case.

Questions people ask before choosing

Each answer stands alone, so it still makes sense quoted without the page around it.

Which AI video generator is best right now?

There is no single best AI video generator, because the models lead on different axes. Gemini Omni Flash 1.1 currently tops blind voting on both text-to-video arenas and is the best general default for short clips. MiniMax H3 leads image-to-video and is the cheapest usable option at $0.08 per second. Seedance 2.5 is the only model producing a genuine thirty-second single take with heavy reference locking, which makes it the pick for narrative work despite ranking slightly below Seedance 2.0 per shot. The right answer depends on which of those constraints your format actually has.

Are the free and cheap AI video models good enough to use?

For formats where nobody is on camera, yes. MiniMax H3 at $0.08 per second and LTX-2.5 Fast at $0.09 produce entirely usable B-roll, backgrounds, landscapes and faceless-channel footage, because those formats remove the axes where budget models fail. For anything where a human face carries the shot, the cheap tier shows facial distortion and physics errors under close viewing, and the step up to Seedance 2.0 is worth paying for.

Can I use AI-generated video commercially?

Usually, but the licence is the thing to check rather than the model quality. Most hosted APIs permit commercial use of what you generate. Open-weight builds are where the traps are: the MiniMax H3 open-weight release restricts distribution in the United States, the EU, the UK and South Korea, which makes it unsuitable for public posting or resale even though the model itself is free to run. Veo 3.1 also embeds a SynthID watermark that cannot be disabled, which matters for some client work.

How are these picks decided if there is no score?

Each pick is a judgment call from four inputs: hands-on generation by our team, standing on public leaderboards, specifications verified from provider documentation rather than marketing pages, and consistent reports from people running these tools daily. Each format is first mapped to what it actually demands, such as lip sync, cost per finished minute, or take length, and the model that leads on those specific demands wins. Where the inputs disagree, hands-on results decide it.

How do I keep a character consistent across multiple shots?

Reference locking, not prompt description. Seedance 2.5 accepts up to fifty references across images, video and audio and is the strongest option for holding one character through a long piece. Seedance 2.0 accepts nine images, three video clips and three audio files. For a character you will reuse indefinitely, such as a cartoon lead or a brand mascot, training a LoRA on LTX-2.5's open weights outperforms any reference-based approach. Describing a character in text and hoping it repeats is the most common reason people conclude a model cannot hold consistency.

How often is this page updated?

Every day. Model versions, prices and licence terms change constantly, and a pick that was correct last month is often wrong now. Each format section records which of the four inputs supports its current pick, and the change log in the sidebar records what moved and why.

About PromptVideo

PromptVideo is a team of video generation experts. We use these models daily in our own production work, and this page is largely a record of what we learned paying for that ourselves.

Our mission is to keep an up-to-date, genuinely useful resource for people making content, one that reflects what these models do this week rather than what they did at launch. Prices change, licences change, and a model that was the right answer last month is often the wrong one now, which is why this is reviewed every day rather than refreshed once a quarter.

If a fact here is wrong, or a format you work in is missing, tell us and we will fix it. Corrections are logged in the sidebar alongside everything else that changes.

  • No affiliation. We are not affiliated with any AI model or video generation company.
  • No commissions. We earn no affiliate revenue from anything listed here, and no link on this page is monetised.
  • No paid placement. No vendor can buy a position, a mention, or a change to a verdict.
  • We pay for access. Subscriptions and credits used for testing come out of our own production budget.
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