How Much Does AI Video Generation Really Cost? Veo 3.1 / Sora 2 / Kling 3 / MiniMax Real Cost and Value Comparison Tested

Veo 3.1 / Sora 2 / Kling 3 / MiniMax — Real Cost and Value-for-Money Comparison

You probably know AI can generate videos, but do you know how much it costs to generate a 10-second clip? How many times more expensive is one model versus another? Which one is cheapest, which is fastest, which has the best image quality? In this article we run the same set of prompts through four mainstream models and lay out the cost, speed, and quality side by side.

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1. Why You Should Do the Math

When most people first encounter AI video, they focus on "does it look good?" But once you start producing content at scale — running a short-video matrix, generating ad creatives, delivering work for clients — the first question you can't avoid is: how much does one video actually cost?

For example: you need to produce 50 short-video creatives for A/B testing of a product. If each video differs in cost by ¥2, the total gap is ¥100. If it differs by ¥10, that's ¥500. If you're running a matrix account with 200 videos per day, the monthly gap can reach ¥60,000.

If you don't understand costs, you can't run AI video production at scale.

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2. Pricing Overview of Four Mainstream Models

As of July 2026, the pricing for mainstream AI video generation models is as follows:

Model	Developer	Billing Method	Per-Generation Price	Max Duration	Resolution
Veo 3.1	Google DeepMind	Per-second billing	~$0.05-0.08/sec	8 sec	1080P
Sora 2	OpenAI	Per-generation (plan-based)	~$0.10-0.15/gen	10 sec	1080P
Kling 3	Kuaishou	Credit-based	~¥0.3-0.5/gen	10 sec	1080P
MiniMax (Hailuo)	MiniMax	Credit-based	~¥0.2-0.4/gen	6 sec	1080P

Note: The above prices are approximate values based on public API/platform pricing. Actual costs vary depending on plan, region, and feature (text-to-video vs. image-to-video vs. video extension). Aggregator platforms like Tomato AI (cctocv.com) cover all of the above models through a unified credit system, so users don't need to register separately on multiple platforms.

Key Findings

• Kling 3 and MiniMax have the lowest per-generation cost, roughly 1/5 to 1/8 that of Veo 3.1
• Veo 3.1 is the most expensive per second, but a single generation can reach 8 seconds, and its image quality and physical consistency are the strongest of the four
• Sora 2's subscription model is suited for high-frequency users; low-frequency users may actually end up with a higher per-unit price
• MiniMax is the cheapest, but with only 6 seconds per generation, its per-second cost is close to Kling's

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3. Hands-On Test: Same Prompt, Four Models

Test Prompt

A orange tabby cat sits on a windowsill, sunlight streaming in from the left, the cat slowly turns its head toward the camera, eyes reflecting the sunlight, fur detail clearly visible, cinematic color grading, shallow depth of field, 1080P.

Test Results

Dimension	Veo 3.1	Sora 2	Kling 3	MiniMax
Generation Time	~85 sec	~120 sec	~45 sec	~30 sec
Actual Duration	8 sec	10 sec	10 sec	6 sec
Resolution	1080P	1080P	1080P	1080P
Cost (approx.)	$0.50	$0.12	¥0.40	¥0.25
Fur Detail	★★★★★	★★★★☆	★★★★☆	★★★☆☆
Motion Smoothness	★★★★★	★★★★★	★★★★☆	★★★☆☆
Prompt Adherence	★★★★☆	★★★★☆	★★★★★	★★★☆☆
Physical Realism	★★★★★	★★★★★	★★★★☆	★★★☆☆

Scenario Analysis

Veo 3.1 has the strongest fur rendering and ray tracing of the four — the translucent effect of sunlight passing through the cat's fur is almost indistinguishable from reality. But the 85-second wait time and $0.50 cost mean: if you need to generate 50 creatives for A/B testing, the cost alone is $25, and the wait time exceeds 1 hour.

Sora 2 rivals Veo 3.1 in physical realism — the muscle pull in the cat's neck as it turns its head and the subtle ear movements are extremely natural. The 10-second duration is an advantage, but the 120-second generation speed is the slowest of the four.

Kling 3 has the highest prompt adherence — "orange cat," "windowsill," "sunlight from the left" — every element is precisely rendered, and Chinese prompts work natively without translation. The 45-second generation speed and ¥0.40 cost make it the value-for-money champion.

MiniMax is the fastest (30 seconds) and cheapest (¥0.25), but the 6-second duration and slightly weaker detail mean it's better suited for quickly validating creative directions rather than producing final output.

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4. Optimal Choice by Scenario

Scenario 1: Short-Video Matrix Operations (50-200 videos/day)

Core priority: cost control + output speed

Model	Cost for 100/day	Time for 100/day
Veo 3.1	~$50 (¥360)	~2.4 hours
Sora 2	~$12 (¥86)	~3.3 hours
Kling 3	~¥40	~1.25 hours
MiniMax	~¥25	~50 min

Recommendation: Kling 3 as the primary model (70%) + MiniMax for quick validation (30%)

The core of matrix operations isn't the quality of individual videos, but "trading quantity for probability" — if just 5 out of 100 videos go viral, you've already broken even. Kling 3's cost/quality balance is the best fit for this logic. MiniMax is used to quickly test creative directions and confirm which prompt is worth a polished pass with Kling.

Scenario 2: Brand Advertising / High-Quality Delivery (5-10 videos/day)

Core priority: image quality + consistency

Recommendation: Veo 3.1 as primary + Sora 2 as supplement

Every frame of a brand ad needs to hold up when enlarged. Veo 3.1's ray tracing and physics simulation are irreplaceable in this scenario. Sora 2 serves as a supplement, especially when shots longer than 10 seconds are needed. The cost is high but the volume is low — about $5-8 per day for 10 videos, which is acceptable.

Scenario 3: E-Commerce Product Videos (20-50 videos/day)

Core priority: cost + Chinese-language prompts + image-to-video

Recommendation: Kling 3 carrying the full load

E-commerce product videos require uploading a product image for image-to-video (image2video). Kling 3 performs best in object/character consistency in this mode, and it natively supports Chinese prompts — just write "product slowly rotates 360 degrees, lighting changes naturally" directly. At ¥0.40/video, 50 videos cost only ¥20.

Scenario 4: Content Validation / Creative Exploration

Core priority: speed + low cost

Recommendation: MiniMax across the board

30-second output at ¥0.25/video — MiniMax is the "scratch paper" for creative validation. Run 10 directions first, each at ¥0.25, totaling ¥2.5, then pick the best 2-3 and do a polished pass with Kling 3 or Veo 3.1.

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5. Hidden Costs: You Think You Only Paid for Generation?

Beyond the model API fee, there are several easily overlooked costs in real-world operations:

1. Failed Retry Cost

AI video generation isn't 100% successful. Poorly written prompts, model comprehension errors, unusable results — all require retries. Based on testing, the average retry rate is 20-40%.

Actual cost = per-generation cost × (1 + retry rate)

• Veo 3.1 actual cost: $0.50 × 1.3 = $0.65/video
• Kling 3 actual cost: ¥0.40 × 1.3 = ¥0.52/video

2. Video Extension Cost

Many models only generate 5-8 seconds per run. Making a 15-30 second video requires the "video extension" feature — which is usually billed separately.

Model	Per-Generation Duration	After 1 Extension	Extension Cost
Veo 3.1	8 sec	16 sec	+$0.50
Sora 2	10 sec	20 sec	+$0.12
Kling 3	10 sec	20 sec	+¥0.40
MiniMax	6 sec	12 sec	+¥0.25

Actual cost for a 20-second video:

• Veo 3.1: $1.00 (¥7.2)
• Sora 2: $0.24 (¥1.7)
• Kling 3: ¥0.80
• MiniMax: ¥0.50

3. Prompt Debugging Time Cost

A good prompt often requires 3-5 rounds of debugging. If you estimate labor cost at $50/hour:

• 15 minutes of debugging per video = $12.50 in labor cost
• This far exceeds the model API fee

Optimizing your prompts = the biggest money saver. Get it right the first time and you save the cost and time of 4 retries.

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6. Practical Money-Saving Checklist

• Run directions with the cheap model first — validate your concept with MiniMax, then do a polished pass with a more expensive model once confirmed
• Write a good prompt before generating — every extra retry is extra cost. Refer to our "AI Video Prompt Basics" series
• Image-to-video > text-to-video — image-to-video with a reference image has a much higher success rate than pure text-to-video, reducing retries
• Use an aggregator platform — Tomato AI (cctocv.com) covers all four models on one platform, no need to top up separately or worry about exchange rates, plus free credits
• Turn off high-quality mode for batch generation — many models have a "fast mode" that trades a small amount of quality for 2-3x speed and lower cost
• Build a prompt template library — save validated good prompts for reuse, avoiding debugging from scratch every time

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7. Quick Cost Estimation Table

Here's a quick reference table for budgeting:

Scenario	Daily Output	Recommended Model	Daily Cost	Monthly Cost (30 days)
Short-video matrix	100 videos	Kling 3	~¥52	~¥1,560
Brand advertising	10 videos	Veo 3.1	~¥72	~¥2,160
E-commerce products	50 videos	Kling 3	~¥26	~¥780
Creative validation	50 videos	MiniMax	~¥13	~¥390
Mixed operations	80 videos	Kling+MiniMax	~¥35	~¥1,050

Compared with traditional video production: hiring a part-time editor costs ¥5,000-8,000/month, producing about 60-100 videos/month. AI video already has a crushing cost advantage, and capacity can scale elastically with demand.

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Conclusion: Choosing a Model Is Choosing Value for Money

There is no "best model" — only the "most suitable model." The core principles:

• High volume, need it cheap → Kling 3 / MiniMax
• High quality, need the best → Veo 3.1 / Sora 2
• Validation, need speed → MiniMax
• Chinese-language, need efficiency → Kling 3
• Don't want to overthink it → use Tomato AI, one platform does it all, free credits to test the waters first

The cost of AI video has dropped to the point where it's almost negligible — what's truly expensive is using the wrong model, writing the wrong prompt, and not building a standardized production workflow. Get these three things right, and AI video becomes your lowest-cost content production line.