AI 视频成本计算器
按成片每分钟做预算，而不是按片段
这个 AI 视频成本计算器估算一部 AI 生成的电影真正要花多少钱，为在生成第一个片段之前就要做预算的 AI 电影人、代理商和工作室而造。选一个模型，填入镜头数或成片时长，你会得到一个包含服务商从不公布的那个数字的总额：你的重试。
公布的价格都是按片段算的，而且默认每一条都能用。没人是这么干活的。AI 电影人通常要生成 2 到 5 个版本，才有一个能活到剪辑里，所以一部 60 个镜头、重试倍数为 3 的短片，意味着 180 次生成，而不是 60 次。决定你这部片是花 40 美元还是 400 美元的，是那个重试倍数，不是每秒单价。
全部在你的浏览器里运行。没有任何项目数据被发送到服务器。价格于 2026 年 9 月核对自公开的 API 和套餐页面，服务商价格每月都在变。
为一个最终用上的镜头，你实际会生成多少个片段。干净档 1.5 适合已锁定的分镜和图生视频流程。典型档 3 与大多数 AI 电影人报告的情况相符。完美主义档 5 是追求人物一致性和对口型时会到的位置。
你这部片的预算估算
估算总额 $25.20
需生成片段：72 个（对应保留下来的 24 个镜头）
纯生成成本：$25.20
成片每分钟成本：$12.60
成片时长：2 分钟
同样的需求，换成其他模型
镜头数、片段长度和重试次数完全相同。自建模型被排除在外，因为它们没有按片段的价格。
| 最便宜的 3 个 | 总额 |
|---|---|
| Runway Gen-4 Turbo | $18.00 |
| Kling 2.6 Pro | $25.20 |
| Seedance 1.0 Pro | $25.20 |
| 高端的 3 个 | 总额 |
|---|---|
| Sora 2 Pro | $180 |
| Veo 3.1 | $144 |
| Pika 2.2 | $115 |
价格于 2026 年 9 月核对（数据集 2026-09）。
工作原理
计算器把你的镜头数乘以重试倍数得到总生成次数，按模型公布的每秒单价（换算到你的片段长度）为每次生成计价，如果你打开了音频与提分辨率那一轮，再加上 30%。除以成片时长，就得到成片每分钟成本，这个数字让一支 2 分钟的广告和一部 10 分钟的短片能在同一标准上比较。价格取自公开的 API 页面；对那些只卖订阅积分的服务商，则采用中档套餐折算出的实际积分单价，并标注为估算。
AI 视频到底要花多少钱？
按片段的价格看着人畜无害：Veo 3 标准档大约每秒 0.40 美元，一个 5 秒片段就是 2.00 美元，而 Sora 2 通过 API 在 720p 下大约每条 0.50 美元。但建立在「第一条就成」之上的 AI 电影预算是虚构的。按典型的 3 倍重试比例，一部 5 分钟、60 个镜头的短片意味着 180 次生成。在高端模型上那是几百美元；在 Kling 或 Seedance 这类便宜模型上，更接近 20 到 40 美元。
第二个陷阱是积分和 API 定价的区别。换算 Kling 的积分或 Runway Gen 4 的每片段价格，取决于你买的是哪个套餐：中档订阅里的积分，按片段折算通常比原始 API 价格更贵，而且没用完的积分会过期。对那些只卖积分的服务商，这个计算器会把中档套餐折算成每片段的数字，并标注为基于积分的估算，而不是假装它是一个确定的价格。
自建的开源模型彻底改写了这道题。Wan 按片段不花钱，你付的是 GPU 时间，而这恰好偏向 AI 电影真正需要的那种工作方式：无限重试。如果你的重试倍数常年停在 5 倍，在租来的 GPU 上做一部 AI 短片的成本，可能比任何闭源模型都低，代价是配置时间和更慢的迭代。在敲定预算之前，把对比表两边都跑一遍。
适合谁
- 用 AI 做电影的人 在去提案之前就把短片的预算算得现实一点，把重试算进价里，而不是生成到一半才发现。
- 代理商和工作室 按成片每分钟给 AI 视频报价，并用逐个模型的对比把这个数字撑住。
- 正在评估模型的制片 看看高端模型的成功率，是否值得它相对一个重试更多的便宜模型的价差。
AI Video Cost Calculator: the complete guide
It converts shots, clip length, and a realistic retry multiplier into total generation cost on any major model, then compares the same brief across the cheapest and premium options.
For this workflow, the central problem is clear: AI video is priced per clip on first-take assumptions, so real project budgets blow up on retries nobody accounted for. Left unresolved, this creates downstream friction and slower decisions. The practical target is a defensible total and cost per finished minute for an AI film, with retries priced in and a model-by-model comparison.
Limitation to keep in mind: It estimates generation cost only: editing time, paid stock, licensed music, and provider price changes after the dataset date are outside its scope, so treat it as the generation line of a budget.
Advanced workflow: Advanced teams run the estimate once per retry profile to get a best, expected, and worst case, then assign models per shot type: budget models for coverage, premium models for hero shots.
Step-by-Step Workflow
- Size the project by shot count, or by finished runtime and average shot length if you are pre-storyboard.
- Pick the model you plan to shoot on and set the average clip length you actually generate.
- Choose the retry profile that matches your standards: 1.5x clean, 3x typical, 5x perfectionist.
- Read the comparison table before committing: the same brief on another model is often a 10x price difference.
Use Cases By Profile
- AI filmmaker: price a festival short before generating, so the retry budget is a decision instead of a surprise.
- Agency producer: quote client work per finished minute with a dated, model-by-model cost basis behind the number.
- Studio lead: compare a premium model at low retries against a budget model at high retries before locking a pipeline.
Common Mistakes To Avoid
- Budgeting from published per-clip prices without a retry multiplier.
- Comparing subscription credit plans against API rates as if they were the same price basis.
- Ignoring the free self-hosted lane when the workflow is retry-heavy.
Professional Best Practices
- Draft on a cheap or fast tier and reshoot only kept shots on the premium model; the blended rate drops fast.
- Track your real keep ratio for one project, then replace the default 3x with your own number.
- Recheck prices monthly: the dataset is stamped September 2026 and this market reprices constantly.
Treat this tool output as a decision support layer, not a replacement for authorship. Great scripts are remembered for specific choices, emotional precision, and clarity of dramatic movement. Tools help by removing noise so your energy can go where it matters: character, conflict, escalation, and payoff. If you review outcomes after each pass and keep an explicit log of accepted changes, your workflow becomes faster and more predictable from draft to draft. That consistency is exactly what professional collaborators value: fewer surprises, clearer rationale, and a script that evolves with intent.
Extended FAQ
How much does a 5-minute AI short film cost?
At a typical 3x retry ratio and 5-second shots, a 5-minute short needs about 60 kept shots and 180 generations. That runs roughly $60 to $75 on budget models like Kling or Seedance, around $110 on Veo 3.1 Fast, and $360 to $450 on premium tiers like Veo 3.1 standard or Sora 2 Pro, before sound and upscaling.
What is the cheapest AI video model in 2026?
Among closed models, Runway Gen-4 Turbo at about $0.25 per 5-second clip and Kling 2.6 Pro or Seedance at about $0.35 lead on price. Open-source Wan is cheaper still if you count only GPU time, but you pay in setup and iteration speed.
How many clips do I need to generate for one minute of AI film?
One finished minute at 5-second shots is 12 kept clips. At the typical 3x retry ratio that means 36 generations, and a perfectionist 5x pass pushes it to 60. This is why cost per finished minute, not per clip, is the honest budget unit.
When does self-hosting an open model beat paid APIs?
When retries dominate. A rented 24GB+ GPU at roughly $0.50 to $1.00 per hour makes each extra take nearly free, so at 5x retry ratios self-hosted Wan often undercuts every closed model. Below 2x retries on short projects, API pricing usually wins on convenience.
What does a Sora 2 video cost through the API?
In September 2026, Sora 2 runs about $0.10 per second at 720p, so $0.50 for a 5-second clip, and Sora 2 Pro from $0.30 to $0.50 per second by resolution. OpenAI has announced an API sunset for late September 2026, so app credits are the forward path.
Does 4K or upscaled output change the budget much?
Yes. Native 4K is currently a Veo 3.1 standard feature at premium per-second rates, and separate upscale passes on other models add a step. The calculator's 30% audio and upscale toggle approximates that finishing overhead on top of raw generation.
常见问题
按 2026 年 9 月的价格，典型的 3 倍重试流程在便宜模型上（Kling、Seedance、Hailuo）大约落在成片每分钟 10 到 50 美元，在高端档上（Veo 3.1 标准、Sora 2 Pro）落在 100 到 500 美元，这还没算声音和提分辨率。重试比例对这个数字的影响，比选哪个模型还大。
2026 年 9 月通过 Gemini API，Veo 3.1 标准档在 1080p 带音频下为每秒 0.40 美元，Veo 3.1 Fast 为每秒 0.12 美元。一个 5 秒片段就是 2.00 美元对 0.60 美元，这也是很多电影人用 Fast 打草稿、用标准档定稿的原因。
因为公布的价格假设第一条就成，而真实流程不是这样。AI 电影人普遍反映，在把人物一致性、运动和连贯性都算上之后，每两到五次生成才留下一个片段。1.5 倍适合分镜锁得很紧的图生视频工作；5 倍适合完美主义的打磨和对口型。
按片段算通常不便宜。积分套餐捆绑了应用功能而且每月过期，所以中档套餐折算出的每片段实际价格，常常高于原始 API 价格。这个计算器把积分套餐折算成每片段数字并标注为估算，让你能诚实地做比较。
那个可选的 30% 覆盖的是单独一轮音频、音乐或提分辨率，和单打独斗的 AI 电影人通常在生成之外的额外支出相符。它不包含你的剪辑时间或付费素材，所以请把结果当成预算里的生成那一行，而不是整份预算。
