Every AI generator prices itself differently, credits, GPU minutes, seats, tokens. This is a plain-English comparison of what an image and a video clip actually cost across the major tools in 2026, and the hidden costs brands and agencies keep forgetting to budget for.
In 2026, a single AI image costs roughly $0.005–$0.13 (₹0.5–₹12) at API rates (about $0.03–$0.10 (₹3–₹9.5) inside a subscription). A five-second AI video clip costs roughly $0.40–$0.75 on efficient models like Kling or Sora, and around $2.00 on a premium tier like Veo with native audio. But the credit is the smallest cost. Regenerations, prompt iteration, editing, brand checks and licensing usually cost several times more than the generation itself, which is why the real unit to compare is cost per approved, on-brand asset, not cost per credit.
If you manage creative for a brand or an agency, you have probably tried to compare AI tools on price and given up. One bills in “fast GPU hours,” another in “credits” that are worth different amounts depending on resolution, a third in flat monthly seats, and a fourth in per-request API tokens. None of it lines up. This guide normalises all of it into two numbers a creative lead actually cares about: what does one image cost, and what does one short video clip cost.
The confusion is not an accident. Each vendor designs its pricing around its own cost structure and the behaviour it wants to encourage, so a “credit” means something different everywhere.
A fixed monthly pool (Midjourney, Firefly, Runway). Predictable, but unused credits usually expire at month-end, and heavy months hit a ceiling. Best when your volume is steady.
You pay per image or per second of video (FLUX, Imagen, GPT Image, most video APIs). No waste, scales cleanly, but costs are variable and need monitoring. Best for uneven or bursty workloads.
You pay for GPU minutes, self-hosted or rented (Stable Diffusion, open FLUX weights). Cheapest per asset at high volume, but you carry the engineering. Best for large in-house pipelines.
Because these models are not interchangeable, the only honest comparison converts every plan into an effective cost per finished asset. That is what the two tables below do.
Figures are normalised to a single standard-resolution image at each tool's typical quality setting. Where a tool is subscription-only, the effective per-image cost assumes a mid-tier plan used at a reasonable monthly volume.
| Tool | Billing model | Effective cost / image | Best at | Commercial rights |
|---|---|---|---|---|
| Midjourney v7 | Subscription ($10–$120/mo · ₹960–₹11,520) | $0.03 | Art direction, style, mood | Yes, on paid plans |
| Adobe Firefly | Subscription (from $9.99/mo · ₹960) | $0.04 | Safe, licensed, brand-ready | Yes + IP indemnity |
| Google Imagen 4 | API / free in Gemini | $0.02–$0.13 | Photorealism + text | Yes, on paid tiers |
| FLUX.2 | API / open weights | $0.015–$0.03 | Photorealism at scale | Yes (check weights licence) |
| Ideogram 4.0 | API + subscription (from $7/mo · ₹670) | $0.03–$0.10 | Text & logos in image | Yes, on paid plans |
| OpenAI GPT Image | API (by quality tier) | $0.005–$0.12 | Prompt accuracy, edits | Yes |
| Stable Diffusion 3.5 | Self-host / compute | $0 + GPU | Full control, in-house pipelines | Free under revenue cap |
Effective per-image costs are normalised estimates for comparison, based on publicly listed rates as of September 2026. USD figures are converted to INR at approximately ₹96 = $1 (September 2026). Vendors change pricing and plan structures frequently; always confirm current rates before committing budget.
Video is where budgets get away from teams, because a few seconds of high-resolution output with audio is dramatically more expensive than an image. Figures below are normalised to a single five-second clip at each model's standard quality.
| Tool | Rate (per second) | Cost / 5-sec clip | Best at | Native audio |
|---|---|---|---|---|
| Wan 2.6 | $0.05 | $0.25 (₹24) | Cheapest volume output | No |
| Kling 3.0 | $0.08–$0.10 | $0.45–$0.50 (₹43–₹48) | Character & subject consistency | Limited |
| OpenAI Sora 2 | $0.10–$0.14 | $0.50–$0.70 (₹48–₹67) | Cinematic physics, realism | Yes |
| Runway Gen-4.5 | $0.15 (or subscription) | $0.75 (₹72) | Editing & creative control tools | Yes |
| Google Veo 3.1 Fast | $0.15 | $0.75 (₹72) | Speed + audio at lower cost | Yes |
| Google Veo 3.1 | $0.40 | $2.00 (₹192) | 4K, best lip-sync & audio | Yes |
Per-second rates are normalised estimates for comparison, based on publicly listed API and subscription pricing as of September 2026. Some models are subscription-first; per-clip figures translate their effective rate. Note: OpenAI announced the original Sora API is being retired in late September 2026 in favour of Sora 2, confirm the current endpoint before building on it.
A second category has grown up on top of the base models: creative platforms that bundle many models behind a single credit wallet and a friendlier interface. You do not choose an API, you buy credits and spend them across whatever model each feature runs. That convenience is the product, and it usually carries a markup over raw API rates.
A video-first creative app aimed squarely at ad and UGC teams, with cinematic camera-motion presets, effects, avatars and its own photoreal image model. Credit-based plans (roughly $9–$40/mo, with higher “unlimited” tiers), where heavier motion, longer clips and higher resolution burn more credits per render. Strong for fast, on-trend social video without wiring up multiple APIs.
An all-in-one image and video hub that fronts models like FLUX, Sora, Kling and Google's image models, plus character-consistency and one-click story/video tools. Credit-subscription pricing (from around $9/mo), with credits consumed at different rates by model and resolution. Useful when a team wants access to many models without managing several accounts.
Alibaba's open-source video model and the quiet engine behind a lot of cheap output. At roughly $0.05 per second it is the lowest-cost route to volume, and because the weights are open it can be self-hosted for near-zero marginal cost at scale. The trade-off is more setup and no native audio, best for teams with an in-house pipeline that need many clips fast.
The rule of thumb: platforms buy you convenience, raw APIs buy you price. A small team producing varied social content often comes out ahead on a platform like Higgsfield or OpenArt because the workflow tooling is worth the markup. A high-volume pipeline usually saves money going direct to model APIs or self-hosting WAN, provided it has the people to run them.
Say an agency produces a typical monthly social batch for one brand: 300 images and 40 short video clips. On paper the generation looks almost free:
That number is why leadership assumes AI creative is nearly free, and why real production overruns surprise them. The generation is the cheap part. What that $30–$110 (₹2,880–₹10,560) hides:
The credit is never the cost. The cost is the human iteration around the credit.
Three principles hold across almost every brand and agency we work with:
For teams that would rather not run this comparison every quarter, or manage six subscriptions, licensing terms and a constantly shifting model landscape, this is exactly the work we take off your plate.
At Adloka we run AI creative production as a managed service for brands and agencies worldwide. We keep the right stack of image and video models under one roof, absorb the credit and licensing complexity, and put an experienced creative team between the model and your brand, so what you receive is finished, on-brand, rights-cleared work, priced per output rather than per credit. You get the speed and cost of AI generation without the tool-juggling, the regeneration waste, or the compliance risk.
A single AI image typically costs between roughly $0.005 and $0.13 (about ₹0.5 to ₹12) at API rates, or about $0.03 to $0.10 (₹3 to ₹9.5) inside a subscription plan. A five-second AI video clip costs roughly $0.40 to $0.75 (about ₹38 to ₹72) on efficient models like Kling or Sora, and around $2.00 (about ₹190) on a premium tier like Veo with native audio. These are raw generation costs before regenerations, editing and licensing.
For raw cost per second, open or budget models such as Wan and Kling deliver the most seconds per credit, roughly $0.05 to $0.10 per second. Google Veo and OpenAI Sora cost more per second but include audio, higher resolution and stronger physics, so the cheapest per-credit option is not always the cheapest per usable asset.
On most subscription plans monthly credits expire at the end of the billing cycle and do not roll over, while separately purchased credit packs usually last longer or do not expire. Because unused monthly credits are lost, teams with uneven workloads often overpay on subscriptions and are better served by usage-based API pricing or a managed service.
It depends on the tool. Adobe Firefly offers commercial IP indemnification and is trained on licensed data, making it the safest for regulated advertising. Other models grant commercial usage rights under their paid plans but do not indemnify you against third-party claims, so brands should confirm licensing terms per tool before running AI creative in paid media.
Not on raw price, but often on total effort. Higgsfield, OpenArt and similar platforms bundle many models behind one credit wallet and add workflow tooling, so they carry a markup over direct API rates. For small teams producing varied social and ad content, that convenience usually pays for itself. High-volume pipelines typically save money going direct to model APIs or self-hosting an open model like WAN, provided they have the people to run them.
Most professional creative teams use a stack rather than a single tool, because each model has a distinct strength: Midjourney for art direction, FLUX or Imagen for photorealism, Ideogram or Firefly for text-in-image, and Kling, Veo, Sora or Runway for different video needs. Buying one tool for everything forces compromises on quality; the trade-off is more subscriptions to manage.
The credit price only covers the first generation. Real production requires multiple regenerations to get a usable frame, prompt iteration, upscaling, editing, brand-consistency checks and licensing review. The human time around the tool typically costs far more than the credits, which is why the true cost of AI creative is measured per approved, on-brand asset rather than per credit.
Nitin Raghani is founder and CEO of NPR Design, an AI-augmented creative and performance agency operating since 2008. He leads AI creative production for brands and agencies through Adloka. Pricing in this article is reviewed and updated quarterly; figures were last verified in September 2026.