The True Cost of AI Video in 2026: Every Tool Compared
Subscription prices, credit systems, API rates, and hidden costs. We have mapped every pricing model across 17 AI video tools so you can actually budget for a production.
Pricing Pages Lie
We spend a lot of money on AI video tools every month. Not because we are careless with budgets, but because producing commercial-grade video content at volume requires stacking multiple tools, each with its own pricing model, credit system, and set of hidden constraints. After two years of running an AI-native production studio, we can say this with confidence: pricing pages lie.
Not in the outright-fraud sense. More in the “technically accurate but practically useless” sense. A tool advertises $12 per month and you think that covers real work. It does not. That $12 gets you a handful of credits, each credit maps to a different number of seconds depending on the resolution and model version you choose, and you will burn through your allocation in a single afternoon of serious iteration.
Credit systems are the worst offender. Every platform has invented its own unit of measurement. Runway uses credits where one credit does not equal one second. Pika uses credits where 150 sounds generous until you realise a single 4-second generation at full quality can consume 40 of them. Kling gives you 66 free credits daily, which sounds endless until you start generating at 1080p with the extended duration model. The conversion rates between credits and actual output are buried in help docs that change quarterly.
Subscription tiers have fine print too. “Unlimited” generations are throttled. “Pro” plans still watermark certain outputs. Storage expires. Downloads are capped. And the moment you need API access for any kind of production pipeline, you are looking at an entirely different pricing structure that bears no resemblance to the subscription page.
API pricing is actually the most transparent model available, but it requires you to do real maths. When Veo 3.1 charges $0.05 per second on Lite, $0.10 per second on Fast, $0.40 per second on Standard and $0.60 per second at 4K, you need to calculate not just the cost of a successful generation but the cost of the four or five failed generations that preceded it. That is the number nobody puts on their pricing page.
This article is our attempt to fix that. We have mapped the actual costs across 17 AI video and image generation tools, including the hidden expenses that only show up after you have committed to a production workflow.
The Three Pricing Models
Every tool in this space uses one of three pricing approaches, and understanding the differences is critical before you commit budget to any of them.
Subscription (seat-based). You pay a monthly fee, you get a fixed allocation of generations or credits, and every seat on your team multiplies the cost. This is the model used by HeyGen at $24 per month for their starter plan and $120 per month for the business tier, and by Synthesia at $22 per month going up to $67 per month. The advantage is predictable billing. The disadvantage is that you are paying for capacity whether you use it or not, and the per-seat multiplication makes team usage expensive quickly. A five-person team on HeyGen’s business plan is $600 per month before anyone generates a single frame.
Credits (opaque conversion rates). This is the dominant model and it is designed to make comparison shopping difficult. Runway Gen-4 starts at $12 per month with 125 credits. Pika 2.2 starts at $8 per month with 150 daily credits. Luma Dream Machine starts at $9.99 per month with 30 generations per month. The problem is that “125 credits” at Runway and “150 credits” at Pika represent completely different amounts of actual video. You cannot compare them without sitting down with a spreadsheet and calculating the effective cost per second of output at each quality tier. We have done that work below.
Pay-per-use API (most transparent). You pay for exactly what you generate, measured in seconds of output. Kling 2.6 charges $0.07 per second via API. Hailuo charges $0.017 per second. LTX Video charges roughly $0.05 per second when self-hosted or via third-party inference. These numbers are directly comparable. You know exactly what a 10-second clip costs before you generate it. The disadvantage is that costs can spike unpredictably during heavy iteration periods, and there is no monthly ceiling unless you build one yourself.
For production work, we strongly prefer API pricing. It is honest. It scales linearly. And it forces you to think about generation efficiency, which makes you a better prompter.
Video Generation: What Every Tool Actually Costs
Here is the master pricing table for every major video generation tool, last checked against published vendor pricing in July 2026. Where a vendor bills in credits rather than seconds, we have said so rather than inventing a per-second equivalent.
| Tool | Starting Price | Pro Price | API Cost (per second) | Free Tier |
|---|---|---|---|---|
| Runway Gen-4 | $12/mo | $35/mo | $0.12/s | 125 credits, watermarked |
| Kling 2.6 | $5.99/mo | $30.99/mo | $0.07/s | 66 free credits daily |
| Veo 3.1 | API-metered | N/A | $0.05/s (Lite), $0.10/s (Fast), $0.40/s (Standard), $0.60/s (4K) | Gemini API free tier |
| Pika 2.2 | $8/mo | $28/mo | $0.10/s | 150 credits daily, watermarked |
| Hailuo (MiniMax) | $9.99/mo | $29.99/mo | $0.017/s | Limited daily credits |
| Luma Dream Machine | $9.99/mo | $29.99/mo | $0.08/s | 30 gens/month |
| LTX Video | Free (open source) | N/A | $0.05/s | Fully open source |
| Higgsfield | $9.99/mo | $24.99/mo | $0.10/s | Limited free gens |
| Sora 2 | App discontinued | N/A | $0.10/s (sora-2), $0.30/s (sora-2-pro), API sunsets 24 Sep 2026 | None |
| HeyGen | $24/mo | $120/mo | N/A | 1 credit, watermarked |
| Synthesia | $22/mo | $67/mo | N/A | 1 demo video |
A few things jump out immediately.
Hailuo at $0.017 per second via API is by far the cheapest AI video per second in the market right now. That is roughly 7 times cheaper than Runway Gen-4 on a per-second basis. The quality gap has narrowed significantly since late 2025, and for many use cases, particularly motion graphics, product shots, and ambient footage, Hailuo produces usable output at a fraction of the cost.
Veo 3.1 has the widest price range of any tool because Google has split it across four inference tiers. Lite at $0.05 per second undercuts most of the market outright. Standard at $0.40 per second and 4K at $0.60 per second are among the most expensive rates published, but they also produce the highest-fidelity output currently available. Whether that premium is justified depends entirely on the project, and on how many retakes the cheaper tier would have cost you.
LTX Video deserves special mention as the leading open source AI video option. The model weights are free. You pay only for compute, either on your own hardware or through a cloud inference provider. At approximately $0.05 per second through services like Replicate or Fal, it sits comfortably in the budget tier while offering full control over the generation pipeline.
Sora’s wind-down is worth noting carefully, because the detail matters if you are budgeting around it. OpenAI announced the discontinuation on 24 March 2026 and shut the consumer app down on 26 April 2026. The API is still live as of this writing: sora-2 runs at $0.10 per second and sora-2-pro at $0.30 per second. Both sunset on 24 September 2026, after which the endpoints return errors.
So Sora is not dead yet, but it has a published expiry date. If you are building a pipeline on it today you are building on something with roughly two months left. Anyone who standardised on it has to migrate. That is a real risk in this market and it factors into cost calculations that most people ignore: the cost of a tool disappearing is the cost of rebuilding everything you attached to it.
Image Generation: The Cost Landscape
Image generation is a different market structure. The tools are more mature, pricing is simpler, and open-source alternatives are genuinely competitive with commercial offerings.
| Tool | Starting Price | API Cost | Free Tier |
|---|---|---|---|
| Flux (Black Forest Labs) | No subscription, pay-as-you-go | $0.03/image (FLUX.2 pro) | Klein 4B weights, Apache 2.0 |
| Midjourney | $10/mo Basic | No public API | No free tier |
| OpenAI (gpt-image-2) | API-metered | $0.005 low to $0.21 high per image | Limited via ChatGPT |
| Recraft | $12/mo Basic | $0.04/image raster | Daily free credits |
| Leonardo AI | $12/mo Essential | Pay-as-you-go | 150 fast tokens daily |
| Ideogram | $15/mo Plus (annual) | Enterprise only | 10 slow credits weekly |
Note that DALL-E 3 is gone. OpenAI retired it on 12 May 2026 and replaced it with the gpt-image line, which is API-metered by quality tier rather than sold as a subscription. If you have documentation or a pipeline still referencing DALL-E 3 endpoints, they no longer resolve.
For production stills and concept art we lean on Flux. The Klein 4B weights are Apache 2.0 and run locally at no cost beyond electricity and GPU amortisation, and the hosted FLUX.2 pro endpoint is $0.03 per image when we need the flagship. Be careful with the licensing here: Klein 9B and FLUX.2 dev are open-weights but non-commercial, so they cannot go into client work. When we need photorealistic product mockups or specific style control we supplement with Midjourney at $10 per month or Recraft at $12.
The free tiers have tightened noticeably over the past year. Ideogram moved from 10 free generations daily to 10 slow credits weekly and dropped its $8 entry plan. Leonardo still gives you 150 fast tokens daily. If you are working on image assets and your budget is tight, open-weights Flux is now a far better answer than any commercial free tier.
Cost Per Finished Second
Here is where every pricing comparison falls apart: the published rate is not the real cost. The real cost is what you pay per finished, usable second of video that actually makes it into a deliverable.
We track this metric obsessively. A “finished second” means the generation passed quality review, required no more than minor colour grading or audio work in post, and was approved by the client or creative director. It does not count the generations that were nearly right, or the ones where the motion was perfect but the subject had seven fingers, or the ones where the camera move was exactly what we wanted but the lighting was completely wrong.
Based on our production data across hundreds of projects, here are the real cost-per-finished-second numbers:
Runway Gen-4: $0.50 to $0.80 per finished second. The API rate is $0.12 per second, but our average success rate after quality review is roughly 1 in 4 to 1 in 6 generations. Runway produces the most consistently cinematic output, which means fewer retakes on style, but more retakes on coherence and subject consistency. Factor in the subscription cost if you are not on pure API, and the effective rate climbs further.
Kling 2.6: $0.15 to $0.25 per finished second. At $0.07 per second via API with a success rate around 1 in 2 to 1 in 3, Kling is our best value for volume work. The model handles motion well, particularly for product and lifestyle content. It struggles more with complex human performances, which drives up the retake rate on those specific shot types.
Hailuo (MiniMax): $0.05 to $0.10 per finished second. At $0.017 per second via API, even with a higher retake rate of 1 in 3 to 1 in 5, the finished-second cost remains remarkably low. We use Hailuo for B-roll, ambient footage, and any situation where we need volume over perfection.
Veo 3.1: Varies heavily by tier. On Lite at $0.05 per second, expect $0.15 to $0.25 per finished second. On Standard at $0.40 per second you are looking at $0.80 to $1.20, and at 4K at $0.60 per second, $1.20 to $1.80. The success rate climbs as you go up the tiers, which compresses the gap: Standard costs eight times Lite per second but nowhere near eight times per finished second, because you throw away far less of what it makes.
These numbers matter because they are what you should actually be putting into a production budget. Not the API rate. Not the subscription price. The cost per finished second, inclusive of iteration.
For a deeper comparison of production costs between AI and traditional methods, see our traditional vs AI cost breakdown.
The Hidden Costs Nobody Mentions
Beyond the generation costs themselves, there are expenses that show up reliably and that most pricing comparisons completely ignore.
Watermarks on free tiers. Runway, Pika, and HeyGen all watermark free-tier output. This makes the free tier useless for any commercial work. You must pay to remove the watermark. The free tier exists for evaluation, not production.
Credits that do not roll over. Most subscription plans reset monthly. Kling’s daily free credits expire at midnight. Pika’s daily credits do not accumulate. If you pay for a monthly plan and have a slow week, those credits evaporate. This is money you have already spent producing nothing.
Storage limits. Runway stores your generations for a limited period on lower-tier plans. Luma Dream Machine has similar constraints. If you do not download promptly, your outputs disappear. We have had to re-generate content because someone forgot to pull assets before the storage window closed. That is a real, quantifiable cost.
Download limits. Some platforms restrict the number of downloads or the resolution of downloads on lower tiers. This is separate from generation limits. You might have credits remaining to generate but no ability to download what you have already created at full resolution.
Upscaling costs. Many tools generate at a base resolution and charge separately for upscaling. If your deliverable requires 4K output and the tool generates natively at 720p, the upscaling step is an additional cost that does not appear in the headline pricing.
Audio in post. None of these video generation tools produce production-ready audio. Zero. Every second of AI-generated video requires sound design, music licensing, voiceover, or all three in post-production. Depending on your audio pipeline, this adds $50 to $500 per finished minute of content. It is the single largest hidden cost in AI video production and it never appears in tool pricing comparisons.
Creative direction time. Skilled creative time is the real cost. A creative director iterating to land a single five-second hero shot is expensive work, even when the generation credits behind it are cheap. This is the discipline that decides whether AI footage looks directed or looks generated, and it scales with the ambition of the project rather than the price of the tool. On most jobs it is a larger share of the total than every generation and finishing cost combined.
What These Projects Cost in 2026
The figures below are indicative market ranges for three common project types, drawn from what AI-native production is currently priced at across the Australian market. They are illustrations, not a quote. Real projects vary widely with scope, ambition, revision rounds and licensing, and the only accurate number for any given brief comes from scoping the brief. What the ranges are good for is showing where the money goes, which is the part most budget conversations get wrong. AUD figures are rounded.
Social campaign (6 assets, 15 to 30 seconds each)
Assumes roughly four shots per asset, or 24 shots total.
| Line Item | Share of cost |
|---|---|
| Video generation | Smallest line on the sheet |
| Upscaling and format conversion | Minor |
| Stock sound design and music licensing | Minor |
| Colour grading and compositing (the bulk of the work) | Dominant |
| Creative direction and iteration | Major |
| Indicative total | A$18,000 to A$23,000 |
Brand commercial (60 seconds, hero quality)
Assumes roughly 20 finished shots averaging three seconds each.
| Line Item | Share of cost |
|---|---|
| Hero generation and iterative selects | Minor |
| Concept imagery and texture generation | Minor |
| 4K upscaling | Minor |
| Sound design, licensed music and voiceover | Moderate |
| Colour grading and compositing | Dominant |
| Creative direction | Major |
| Editorial, motion finishing and master delivery | Moderate |
| Indicative total | A$22,000 to A$32,000 |
Full product catalogue (20 products, 10-second video each)
| Line Item | Share of cost |
|---|---|
| Generation and iteration across 20 products | Minor |
| Product image preparation | Minor |
| Batch upscaling | Minor |
| Template-based stock sound design | Minor |
| Batch compositing and colour finishing | Dominant |
| Creative direction and QA | Major |
| Editing, versioning and final delivery | Moderate |
| Indicative total | A$10,000 to A$13,000 |
Look at where the money actually sits. In every one of these projects, generation is the smallest line on the sheet, often a rounding error against the total. The model is not the cost. The craft around the model is the cost, and it is orders of magnitude larger.
This is the part that budget conversations get wrong. Cheap generation does not make a commercial cheap, because generation was never the expensive part of a commercial. What AI removes is the crew, the location, the camera package and the shoot day. What it does not remove is the shot-by-shot finishing work that makes 20 clips look like one film.
Compare these against our traditional vs AI cost breakdown to see how the same deliverables would price out through a conventional production pipeline.
A Transparent Stack
To make the point concrete, here is roughly what a generation stack costs to run each month for a studio working at real production volume. The figures are illustrative and move around with the project mix, but the shape holds.
| Tool | Plan / Usage | Monthly Cost (USD) |
|---|---|---|
| Veo 3.1 | API, Standard and 4K (hero work) | ~$4,500 |
| Veo 3.1 | API, Fast tier (previz and selects) | ~$1,200 |
| Kling | API (volume generation) | ~$1,600 |
| Sora 2 Pro | API (specialty shots) | ~$850 |
| Hailuo (MiniMax) | API (B-roll and ambient) | ~$700 |
| Runway | Subscription + credit top-ups | ~$600 |
| Flux | API stills (~10,000 images at $0.03) | ~$310 |
| Midjourney | Pro subscription | $60 |
| Recraft | Pro subscription | $40 |
| Higgsfield | Subscription | $39 |
| LTX Studio | Subscription | $35 |
| Leonardo AI | Premium subscription | $30 |
| Pika | Pro subscription | $28 |
| Total | ~$10,000/month |
Around $10,000 a month, and the shape of that number is the point. More than half of it goes to Veo at Standard and 4K, which are the most expensive per-second rates we pay by a wide margin. We could run the same volume for a fraction of that on cheaper models. We do not, because on hero work the expensive tier is the cheaper option.
That sounds like a contradiction and it is not. A premium model lands a usable take more often. When a cheap model needs six attempts to produce what a premium model produces in two, the saving on inference is wiped out several times over by the creative time spent reviewing, redirecting and re-grading the rejects. The rate card is not the cost. The retake count is the cost, and it is paid in skilled creative time, not in fractions of a cent per second.
Read the $10,000 against the project ranges above before drawing the wrong conclusion from it. This is tool spend across all concurrent projects, not the cost of any one deliverable. A single hero commercial still lands in the tens of thousands, because grading, compositing, finishing and creative direction do not get cheaper when the pixels do.
What the spend buys is not a cheap deliverable. It is the freedom to iterate without watching the meter, which is a different and more useful thing. We can generate forty versions of a shot to find the right one, and the generation cost of those forty attempts is still less than one hour of a colourist’s time.
The cheap tiers still earn their place. Hailuo at roughly $700 a month covers B-roll, ambient footage and anything where volume matters more than perfection. Kling at around $1,600 is the workhorse for social and product work, where the shot is simple enough that the retake rate stays low. The discipline is matching the tier to the stakes of the shot, not defaulting to the cheapest rate on the sheet or the most expensive.
Where This Is Heading
The trajectory is clear: costs are falling and quality is rising. In January 2025, producing a usable 10-second clip cost us roughly $8 to $12 in generation fees. Today the same clip runs about $1.50 to $2.50 on a volume model, and $12 to $18 if you shoot it at Veo 4K, inclusive of the takes you throw away.
That spread is the real story. The floor has collapsed while the ceiling has held, so the gap between cheap and premium has widened rather than narrowed. Cheap generation is now effectively free relative to the cost of the people around it. Premium generation still costs real money and, on high-stakes shots, still saves more than it costs.
The last twelve months bear this out. Veo Standard has come down from $0.75 to $0.40 per second, and the Lite tier from $0.15 to $0.05, roughly a two-thirds cut. We expect further falls through the back half of 2026 as competition intensifies and inference efficiency improves. Open-weights models are pushing commercial providers to lower prices or differentiate on quality.
The tools that survive will be the ones that are honest about their pricing. Credit systems that obscure real costs will lose to transparent per-second API billing. Subscriptions that lock in unused capacity will lose to pay-as-you-go models. And studios that track cost-per-finished-second instead of headline API rates will consistently outperform those that do not.
If you are budgeting for AI video production in 2026, do not look at pricing pages. Run a real test. Generate 50 clips on three different platforms. Measure how many are actually usable. Divide your total spend by your total usable seconds. That number is your real cost, and it is the only number that matters.
Product videos that convert. We break down exactly how we build AI-generated e-commerce video at scale, from brief to delivery, with real numbers on cost and turnaround.
READ →From text-to-video to temporal consistency, motion transfer to LoRA. Every technical term you will encounter working with AI video tools, explained by practitioners who use them daily.
READ →Real pricing data for AI video production in Australia, brand films, commercials, VFX, music videos, and social content. What affects cost, what's changed, and what to budget.
READ →