AI image and video generator pricing, compared

If you are comparing AI image generator pricing or AI video generator cost, start with the unit price. Vynzo is built around pay-as-you-go credits: $19 = 200 credits, $45 = 500, $80 = 1,000, and $380 = 5,000. Credits never expire, there is no subscription, and new accounts get free starter credits. At the typical credit value, an image costs 1–2 credits (≈ $0.08–$0.18), while a 5-second video clip costs 3–13 credits (≈ $0.23–$1.17). That makes the bill easy to forecast: you pay only for what you render, and failed jobs are auto-refunded.

The clearest win is video. In this AI video generator comparison, Vynzo is the cheapest AI video generator for a 5-second clip among the listed per-render tools, with a range of ≈ $0.23–$1.17. SoulGen is higher at $1.30–3.40 for a 5s video. Seduced AI is listed at $1–5 per clip. Candy AI is close at the low end for a ~10s video, but still typically lands at ~$0.80–1.20 and uses tokens that can drain quickly. ZenCreator is flexible, with image-to-video at ≈ $0.16–3.00, but the upper end is much higher than Vynzo’s range. For creators making short social clips, product teasers, motion tests, or storyboards, Vynzo gives the strongest cost control because each clip shows an exact credit cost before you render.

Images are more competitive than one-sided. Vynzo image cost is ≈ $0.08–$0.18, which is on par with ZenCreator at ≈ $0.08–0.20 and Seduced AI at ≈ $0.08–0.42. It is cheaper than Candy AI, where an image is 2–5 tokens or ≈ $0.20–0.50, and cheaper than SoulGen, where an image is 1–4 credits or ≈ $0.13–0.52. So the honest takeaway is this: Vynzo is not the only low-cost image option, but it is one of the clearest. You can see the per-image credit cost before generation, use current engines like WAN 2.7, Seedream 5, and Qwen, and avoid guessing how a monthly token balance will stretch across different image jobs.

Free access and commitment are also important. Vynzo gives free starter credits with no subscription, which makes it the lowest-friction way to test quality before paying. Candy AI has no free tier and starts from ~$4.99/mo, with 100 tokens/mo and top-ups around ~$0.10/token. SoulGen has no free credits and is $12.99/mo for about 100 credits. ZenCreator has no free credits and starts with credit packs from $19.99 for 200 credits. Seduced AI has no free tier, Pro starts from $25/mo for 300 credits, and a 2-day trial is $10. ZenCreator is the closest structural match to Vynzo because its credits never expire, but Vynzo has the free starter path and a lower starting pack at $19.

Mage is the main case where a rival can be the better value, but only for a specific workflow. Mage’s own base image models are unlimited on any paid plan, starting with Basic at $10/mo, so it can be excellent for very high daily volume on base images. The key detail is that this is not the same as every feature being unlimited. Mage includes monthly gems by tier: 500 on Basic, 1,500 on Pro, 3,500 on Pro Plus, and 15,000 on Max. Premium or external models such as Nano Banana 2 and Veo 3.1, HD, faster speed, and quality video are metered by gems. Unlimited video also needs the Pro plan at $30/mo, not Basic. If you need thousands of base images every month, Mage may win. If you need mixed image and video generation with exact per-job pricing, Vynzo is easier to budget.

Quality and consistency depend on the job, not just the price. Vynzo is strongest when you want one studio for images and short clips, predictable costs, and current image and video engines without a monthly bill. Mage is strong for high-volume base image exploration. ZenCreator can be a fit for power users who want many engines and do not mind a steeper setup. Candy AI, SoulGen, and Seduced AI may appeal to users who prefer their specific workflows, but their monthly plans or token systems make cost per image and cost per clip harder to predict. Bottom line: choose Vynzo when you want the most transparent pricing, the lowest commitment, and especially low 5-second video costs; choose Mage if your main need is very high-volume base images.