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Independent index · updated 30 Sept 2026

AI Frontier Media Index

The newest generative video and image models come from ByteDance, Alibaba, MiniMax, Google and OpenAI, and most creatives have never heard of half of them. This index compares 12 of them on what they cost, what they are genuinely good at, and which creative job each one wins.

Short answer: Seedance 2.5 for cinematic motion, Hailuo 3 when the first and last frame must be fixed, Wan 3.0 for cheap volume, Sora when one written scene has to work first time, Seedream 5.0 Pro for a hero still, Nano Banana 2 for a consistent set, and Qwen Image 3.0 for anything with words in it.

New, 30 September 2026

Google announced Gemini 4 Argon: 77.9% on DeepSWE v1.1 against Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%), first place on AutomationBench, and up to one million output tokens in a single run. It is now listed in this index.

Read the full benchmark breakdown

Written and maintained by the Fashion AI School Editorial team · Updated 30 Sept 2026

The whole index at a glance

Prices are indicative list rates and move often. Treat them as an order of magnitude, not a quote.

ModelMakerTypeIndicative priceBest for
Seedance 2.5ByteDanceVideo≈ $0.05-0.13 per secondCampaign teasers and motion versions of a still lookbook.
Wan 3.0 / Wan 3.0 PrimeAlibabaVideo≈ $0.036-0.055 per secondVolume social cut-downs and animated product loops.
Hailuo 3 (MiniMax H3)MiniMaxVideo≈ $0.038-0.099 per secondProduct-in-motion shots where the first and last frame are fixed.
SoraOpenAIVideoSubscription tiers rather than per-second billingPitch films and concept work where one strong take beats fifty cheap ones.
Nano Banana 2 / ProGoogleImage≈ $0.012-0.032 per imageLookbook sets, model consistency and rapid iteration.
Seedream 5.0 ProByteDanceImage≈ $0.032-0.059 per imageHero campaign frames and photoreal product shots.
Qwen Image 3.0 / ProAlibabaImage≈ $0.022-0.055 per imagePackaging mock-ups, campaign posters and anything with words in it.
GPT Image 2 / 2.5OpenAIImage≈ $0.013-0.025 per imageBriefs written in words, where accuracy matters more than mood.
Midjourney v7MidjourneyImageSubscription, from about $10 per monthMoodboards, concept direction and atmosphere.
Gemini 4 ArgonGoogleReasoningNot published yet, staged rolloutThe biggest jobs, whole catalogues, whole campaigns and long video review, once the public release lands.
Gemini 3.x Flash / ProGoogleReasoning≈ $0.02-0.04 per million tokensTrend research, brief digestion and shot-list generation.
Seed Audio 1.0ByteDanceAudio≈ $0.002 per secondVoiceover and atmosphere on short-form video.

Video models

The fastest-moving category. Judge these on whether a camera instruction survives into the clip, and on how long the look holds before it drifts.

ByteDance

Seedance 2.5

Cinematic motion with director-style camera control and synced audio.

≈ $0.05-0.13 per second

Strengths

  • Camera language survives the prompt: pan, dolly, crane and push-in read as intended
  • Holds a look across a shot better than most open video models
  • Native audio sync, so a clip can leave the model already usable

Where it falls down

  • Fabric behaviour drifts on long takes; keep shots short and cut
  • Faces soften at the end of a clip, so lead with the hero frames

Best for: Campaign teasers and motion versions of a still lookbook.

Official source →

Alibaba

Wan 3.0 / Wan 3.0 Prime

Longer clips, up to around 30 seconds, at a low cost per second.

≈ $0.036-0.055 per second

Strengths

  • Longest usable single clip of the current wave
  • Cheapest credible option for volume social content
  • A fast tier that is good enough for storyboarding before a final render

Where it falls down

  • Less obedient to precise camera direction than Seedance
  • Text and logos in-frame are unreliable; composite them afterwards

Best for: Volume social cut-downs and animated product loops.

Official source →

MiniMax

Hailuo 3 (MiniMax H3)

First-and-last-frame conditioning: you choose where a shot starts and ends.

≈ $0.038-0.099 per second

Strengths

  • Start and end frame control makes product motion repeatable
  • Strong physical movement, walking, fabric lift, hair
  • Native sound effects on some tiers

Where it falls down

  • Prompt wording matters more than elsewhere; small changes swing the result
  • Colour grade shifts between runs, so grade afterwards

Best for: Product-in-motion shots where the first and last frame are fixed.

Official source →

OpenAI

Sora

The reference point for prompt understanding and scene coherence.

Subscription tiers rather than per-second billing

Strengths

  • Understands a complicated written scene with the fewest retries
  • Scene logic and object permanence hold up well
  • Safety and rights handling that legal teams accept more readily

Where it falls down

  • Least flexible on price at volume
  • Tight content rules around real people and recognisable brands

Best for: Pitch films and concept work where one strong take beats fifty cheap ones.

Official source →

Image models

Quality is no longer the question, control is. Judge these on references, repeatability across a set and how fabric, skin and hardware behave under a crop.

Google

Nano Banana 2 / Pro

Fast, cheap image generation with reliable character consistency.

≈ $0.012-0.032 per image

Strengths

  • Keeps a face and a garment steady across a set
  • Quick enough to iterate live in a meeting
  • Edits an existing image without redrawing everything

Where it falls down

  • Less filmic than Seedream on a hero frame
  • Fine jewellery and tiny hardware still need a retouch pass

Best for: Lookbook sets, model consistency and rapid iteration.

Official source →

ByteDance

Seedream 5.0 Pro

2K output with multi-reference conditioning, up to ten references at once.

≈ $0.032-0.059 per image

Strengths

  • Best reference handling of the group: garment, model and set can each be pinned
  • Genuine 2K frames that survive a print crop
  • Layer separation on some tiers, which helps retouching

Where it falls down

  • Slower per frame
  • Over-references easily, too many inputs flatten the result

Best for: Hero campaign frames and photoreal product shots.

Official source →

Alibaba

Qwen Image 3.0 / Pro

The one that renders readable text and layout inside the image.

≈ $0.022-0.055 per image

Strengths

  • Clean typography in-frame
  • Good at packaging, labels and signage
  • Reliable layout composition

Where it falls down

  • Skin and fabric are less convincing than Seedream
  • Style range is narrower

Best for: Packaging mock-ups, campaign posters and anything with words in it.

Official source →

OpenAI

GPT Image 2 / 2.5

Highest prompt fidelity: it does what the sentence says.

≈ $0.013-0.025 per image

Strengths

  • Follows long, specific written direction
  • Sound typography
  • Predictable, low-retry output

Where it falls down

  • Can look clean rather than characterful
  • Strict content filtering on likeness

Best for: Briefs written in words, where accuracy matters more than mood.

Official source →

Midjourney

Midjourney v7

Still the strongest house aesthetic, weakest at literal instruction.

Subscription, from about $10 per month

Strengths

  • Unmatched mood and atmosphere
  • Style references that hold across a season
  • Large community craft

Where it falls down

  • Poor at exact garment construction
  • No fine reference conditioning like Seedream

Best for: Moodboards, concept direction and atmosphere.

Official source →

Reasoning models

The part of the pipeline nobody photographs: reading trend material, writing the brief, generating the shot list.

Google

Gemini 4 Argon

Announced 30 September 2026. Benchmark leader on coding and automation, and the first model able to produce up to 1,000,000 output tokens in a single run.

Not published yet, staged rollout

Strengths

  • Up to 1,000,000 output tokens in one execution, so a whole catalogue or campaign can be produced without splitting the job
  • DeepSWE v1.1 77.9%, ahead of Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%)
  • First on Zapier's AutomationBench at 51.3%, tied first on CWE-bench v1 at 68%
  • New state of the art on LVBench, which means hours of video can be read and timecoded in one pass

Where it falls down

  • Not publicly available: first deployment went to Google's own engineering teams and selected security partners
  • No published API price yet, so no budget can be built on it
  • Benchmarks are the vendor's own figures and independent runs usually land lower

Best for: The biggest jobs, whole catalogues, whole campaigns and long video review, once the public release lands.

Official source →

Google

Gemini 3.x Flash / Pro

Fast multimodal reasoning for reading decks, trend PDFs and images.

≈ $0.02-0.04 per million tokens

Strengths

  • Cheap at long context
  • Reads images and documents together
  • Good at structured extraction

Where it falls down

  • Flash tiers summarise thinly without a firm brief

Best for: Trend research, brief digestion and shot-list generation.

Official source →

Audio models

Voiceover and sound design that sit under a generated edit for the price of nothing.

ByteDance

Seed Audio 1.0

Speech, voice cloning and sound effects up to about two minutes.

≈ $0.002 per second

Strengths

  • Cheap voiceover for social edits
  • Sound effects to sit under generated video

Where it falls down

  • Voice cloning needs written consent, treat it as a legal step, not a feature

Best for: Voiceover and atmosphere on short-form video.

Official source →

Pick by the job, not by the hype

Campaign film or teaser

Use Seedance 2.5

Camera direction and grade hold together across a short cinematic shot.

Learn it: AI Video with Real Products →

Product in motion for e-commerce

Use Hailuo 3

Fixing the first and last frame keeps the product recognisable end to end.

Learn it: AI Video with Real Products →

Volume social cut-downs

Use Wan 3.0

Lowest cost per second and the longest single clip, which is what feeds a content calendar.

Learn it: Digital Marketing with AI →

Hero photoreal still

Use Seedream 5.0 Pro

Multi-reference conditioning at 2K is the closest thing to art-directing a real shoot.

Learn it: Hyperrealism in Visuals →

A full lookbook with one model

Use Nano Banana 2

Character consistency across many frames, cheap enough to iterate.

Learn it: Consistency: Character & Product →

Packaging, posters and anything with text

Use Qwen Image 3.0

It is the only one in this group that renders words you do not have to replace.

Learn it: AI Visuals →

Concept and mood

Use Midjourney v7

Atmosphere still beats accuracy at the start of a project.

Learn it: Nano Banana Workshop →

Trend reading and brief writing

Use Gemini 3.x / Claude

Long documents and images in one pass, with the evidence kept attached.

Learn it: Claude for Design →

Use these looks now, without an API key

Our free Lab tools now carry four render styles tuned after these models, Editorial speed, Ultra realism, Typography precision and Cinematic frame. Pick a style, generate, download. No account, no key, no code.

Questions people ask

Which AI video model is best for creative and product work in 2026?

Seedance 2.5 for cinematic camera control, Hailuo 3 when the first and last frame must be fixed, Wan 3.0 for cheap volume, and Sora when one carefully written scene has to work first time.

Which AI image model is the most photorealistic?

Seedream 5.0 Pro currently gives the most convincing hero frame because it can hold up to ten references at 2K. Nano Banana 2 is close, much cheaper and better when the same model and garment must repeat across a set.

How much does AI video actually cost?

Indicative list rates run from about $0.036 to $0.13 per generated second. A ten-second clip therefore costs cents, not euros, the real cost is the number of takes you discard before one works.

Do I need an API key or code to use these models?

No. The free tools in our Lab run them for you with no account, no key and no code. Aggregator APIs matter for developers building software, not for a creative producing images.

What is Gemini 4 Argon and is it better than GPT-6 Astra or Claude Opus 5.5?

Gemini 4 Argon is Google's flagship model announced on 30 September 2026. On Google's own benchmarks it leads both: 77.9% on DeepSWE v1.1 against 74.1% for GPT-6 Astra and 74.2% for Claude Opus 5.5, first place on AutomationBench at 51.3%, and a new best score on long video understanding. It can also produce up to one million output tokens in one run. It is not publicly available yet.

Are these models safe for commercial client work?

Check each provider's terms on training, ownership and likeness before a client brief goes in. Voice and face cloning need written consent regardless of what the model allows technically.

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