Tiffany Layne2026-07-07

2026 年 7 款最實惠的 AI 影片生成器(依影片實際成本排名)

依每部影片的實際成本,比較 2026 年最便宜的 AI 影片生成器。Vidu Q3 Pro 每部只要 0.04 美元,另有 Kling、Sora 2、Veo 及最佳免費工具。

2026 年 7 款最實惠的 AI 影片生成器(依影片實際成本排名)

每月 30 美元的影片訂閱方案,成本可能比一次 0.04 美元的 API 呼叫還高。這聽起來很不合理,所以先直接算給你看:如果方案提供 800 點數,而一段像樣的影片要消耗 200 點數,那麼 30 美元只能產生 4 部影片——每部約 7.50 美元。在 GPTProto 上,使用具原生音訊的 Vidu Q3 Pro 生成一段 16 秒影片只要 $0.04。你必須生成 187 部,才會花掉同樣的 7.50 美元。

這個差距就是 2026 年「實惠 AI 影片」的核心。登陸頁面上的標價幾乎說明不了什麼。真正重要的是一部 可用的影片成本——也就是你重試幾次後最終保留下來的那一部。本文使用即時的單次生成價格,排名實際取得這部影片最便宜的方法,也坦白說明低價在哪些情況下不值得。

 

目錄

What "most affordable" actually means

Three numbers get confused all the time. Worth separating them:

  • Sticker price — the monthly plan or the per-second rate on a pricing page. Easy to compare, easy to game.
  • Cost per generation — what one clip actually costs to produce once. This is how GPT Proto bills: per run, not per subscription.
  • Effective cost per usable clip — cost per generation × the number of tries you need before one is good enough.

That last one is the only number that hits your budget. Most video prompts need 2–4 attempts before you keep one — the model misreads the prompt, the motion breaks, a hand melts. If your average is three tries, your real cost is three times the listed price. This is why the cheapest model often wins twice: a low per-run price means you can iterate more inside the same budget, and more iterations usually means a better final clip.

So the ranking below leads with cost per generation — the hard, billable number — and flags where a low price comes with a catch (lower resolution, a shorter clip, image-input only). No model is free of trade-offs. Where there's a cost, it's in the writeup.

One caveat on method: GPT Proto bills per generation, not per second. To let you compare against the per-second rates you'll see quoted elsewhere, I've added an estimated per-second column — cost per run divided by the model's maximum clip length. Treat those as rough ceilings, not billing terms. The per-generation price is the real one.

The cost-per-video comparison

Prices are GPT Proto's live per-generation rates. Specs are from each model maker's official documentation.

Model Price/gen Est./sec* Max length Resolution
Vidu Q3 Pro $0.04 ~$0.0025 16s up to 1080p
Kling v3.0 Std $0.2016 ~$0.013 3–15s 720p
Hailuo 2.3 Std $0.252 ~$0.025 10s 720p
Seedance 2.0 $0.2957 ~$0.020 4–15s up to 1080p
Sora 2 $0.40 ~$0.033 12s 720p
Wan 2.6 $0.45 ~$0.030 15s 1080p
Veo 3.1 $0.50 ~$0.063 8s 4K

*Estimated: per-generation price ÷ max clip length. GPT Proto bills per generation; this column is only for comparison with the per-second rates quoted elsewhere. Input type and native-audio support are noted in each model's writeup below.

The headline: Vidu Q3 Pro is roughly 5× cheaper than the next-closest model on this list, 10× cheaper than Sora 2, and 12× cheaper than Veo 3.1. And it isn't a budget-bin model doing it. More on that next.

The ranking

1. Vidu Q3 Pro — the best value in AI video right now

At $0.04 per generation for a 16-second clip with synchronized audio, nothing else on the market is close on price. What makes it the pick rather than just the cheapest: as of mid-2026, Vidu Q3 ranks #2 for text-to-video on Artificial Analysis' Video Arena, behind only Sora 2 and ahead of Runway Gen-4.5 and Kling 2.5 Turbo. So you're paying one-tenth of Sora 2's price for a model sitting one rung below it on a blind-preference leaderboard.

The 16-second window is the longest single-pass generation among the leading models — most cap out at 10. Audio and video are generated together in one pass rather than stitched afterward, which is why lip-sync and sound effects land on the action instead of drifting. It handles camera direction (push-ins, pans, tracking shots) described in the prompt, and multi-shot sequences with scene changes inside one generation.

The catch: Vidu Q3 Pro leans cinematic — it's tuned for brand films, trailers, and narrative clips, and its strongest published results are in stylized and anime-adjacent work. If you need photoreal talking-head footage for a corporate explainer, test it before committing; that's not its home turf. But at $0.04 a run, testing costs almost nothing.

Vidu Q3 Pro on GPT Proto

2. Kling v3.0 Standard — best for human motion on a budget

$0.2016 per generation. Kling's reputation is earned on bodies and faces: it renders human movement, weight, and facial expression more convincingly than most, which is why it's the default for anything with people in it. Version 3.0 (Kuaishou, launched globally January 31, 2026) does 3–15 seconds with native audio in five languages and up to six storyboard shots in a single 15-second clip.

The catch: the Standard tier outputs 720p — per Kling's official docs, 1080p is the Pro tier only. For social and prototyping that's fine; for a client deliverable you'll want to step up, which costs more. At five times Vidu's price, Kling earns its place only when human realism is the job.

Kling v3.0 Standard on GPT Proto

3. Hailuo 2.3 Standard — the image-to-video specialist

$0.252 per generation. Where the others start from text, Hailuo 2.3 Standard is built to animate a still image — it holds composition, lighting, and character detail from the source frame while adding motion and camera movement, up to 10 seconds at 768p. If you already have a rendered still or a product shot and want it moving, this is the direct route.

The catch: image input only, and 768p is the lowest resolution ceiling in this group. It does one job. It does it cheaply. Don't reach for it when you need to generate from scratch.

Hailuo 2.3 Standard on GPT Proto

4. Seedance 2.0 — audio-synced clips from ByteDance

$0.2957 per generation. ByteDance's text-to-video model produces 4–15 second clips with native synchronized audio. It's a solid mid-tier generalist — nothing about it is the cheapest or the highest-ranked, but it's a dependable pick when you want ByteDance's motion quality with sound baked in.

The catch: priced above Kling Standard without a clear resolution or leaderboard edge to justify it for most jobs. I'd reach for Vidu or Kling first and keep Seedance as a second opinion when a prompt isn't landing elsewhere.

Seedance 2.0 on GPT Proto

5. Wan 2.6 — 1080p with a full soundtrack

$0.45 per generation. Wan 2.6 (Alibaba) turns a prompt into up to 15 seconds at 1080p with synchronized audio — voice, ambient sound, and music in the same pass. It plans multi-shot scenes and holds character identity across cuts. Of the affordable tier, it's the one that ships true 1080p with a complete audio bed by default.

The catch: it's the most expensive model in the budget group. You're paying for the 1080p-plus-full-audio combination; if you don't need both, cheaper models cover you.

Wan 2.6 on GPT Proto

The premium reference points: Sora 2 and Veo 3.1

Two models sit above the affordable tier and are worth naming so you know what you're trading away.

  • Sora 2 ($0.40/generation) is the current #1 on the text-to-video arena — peak realism and physical accuracy, 12-second clips from text or image. If a shot has to be flawless, this is the ceiling. You pay 10× Vidu Q3 Pro for it.
  • Veo 3.1 ($0.50/generation) is Google DeepMind's flagship: 4K cinematic output with deep creative control, 8-second image-to-video clips. The most expensive here, and the pick when 4K is non-negotiable.

Neither is "affordable" by this article's definition, but both are on GPT Proto at per-generation pricing — meaning you can reserve them for the hero shot and run everything else on Vidu or Kling. That mixed approach is usually the cheapest path to a finished project.

Sora 2 · Veo 3.1

Best free AI video generators in 2026 — and why "free" is a trap

If you want zero cost, the real options in 2026 are:

  • Kling's free tier — daily credits that reset every 24 hours, output capped at 720p, no card required.
  • Open-source models (Wan, LTX) — genuinely free to run, but only if you own the hardware: figure a 12GB+ GPU for LTX, 24GB for Wan, or you're waiting a long time per clip.
  • Google Veo via AI Studio — rate-limited rather than credit-capped, so you can keep going within a throttle.

Here's the honest read: free tiers are for evaluation, not production. Almost all of them (Kling, Hailuo, Pika among them) watermark free output and restrict commercial use to paid plans. And the credit-based ones share a quiet flaw — a failed render still burns your credits. Your prompt was too ambitious, the output is garbage, the credits are gone anyway.

Do the arithmetic and "free" often loses. A free tier that gives you ~20 clips a month, watermarked and non-commercial, is worth less than $0.80 of Vidu Q3 Pro generations — twenty clean, 16-second, commercially usable clips for the price of a coffee. For anything past casual testing, ultra-cheap per-run API access beats a free plan. That's the counterintuitive part: the most affordable route isn't the free one.

How to actually cut your cost

Four levers, in order of impact:

  1. Divide, don't compare stickers. Take any monthly plan, estimate how many seconds of video it really yields, and get to a per-second number. A $30 plan that burns 800 credits a clip is not cheaper than a $0.04 API call because the monthly total looks small.
  2. Budget for iteration, not the first try. Assume 2–4 attempts per keeper. A cheaper model lets you fail more times inside the same budget — which, in practice, gets you a better final clip, not a worse one.
  3. Match the model to the job. People and motion → Kling. Animating a still → Hailuo. Long cinematic clip with audio → Vidu Q3 Pro. 4K hero shot → Veo. Don't pay Sora prices for a background plate.
  4. Reserve the expensive models. Run the project on Vidu or Kling; spend on Sora or Veo only for the one shot that has to be perfect.

Quick start: generate a video with Vidu Q3 Pro

GPT Proto uses one API key and an OpenAI-style pattern across every model. Generation is a two-step flow: submit a task, then poll for the result. Switching models is usually just changing the model path in the URL.

cURL — submit the task:

curl --request POST "https://gptproto.com/api/v3/vidu/viduq3-pro/text-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A lone lighthouse on a cliff at dusk, camera slowly pushing in as the beam sweeps across crashing waves, cinematic, warm-to-cool color grade",
    "duration": "16"
  }'

cURL — get the result:

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"

Python — submit and poll:

import os
import time
import requests

API_KEY = os.environ["GPTPROTO_API_KEY"]
BASE = "https://gptproto.com/api/v3"
HEADERS = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

# 1. Submit the generation task
submit = requests.post(
    f"{BASE}/vidu/viduq3-pro/text-to-video",
    headers=HEADERS,
    json={
        "prompt": (
            "A lone lighthouse on a cliff at dusk, camera slowly pushing in "
            "as the beam sweeps across crashing waves, cinematic, "
            "warm-to-cool color grade"
        ),
        "duration": "16",
    },
)
submit.raise_for_status()
result_id = submit.json()["id"]  # confirm the field name on the model page's API tab

# 2. Poll until the video is ready
while True:
    r = requests.get(f"{BASE}/predictions/{result_id}/result", headers=HEADERS)
    r.raise_for_status()
    data = r.json()
    if data.get("status") in ("succeed", "succeeded", "completed"):
        print("Video URL:", data)
        break
    if data.get("status") in ("failed", "error"):
        raise RuntimeError(f"Generation failed: {data}")
    time.sleep(5)

To run any other model from this list, swap the path — e.g. kling/kling-v3.0-std or bytedance/dreamina-seedance-2-0-260128 — and adjust the parameters shown on that model's API tab. For image-to-video, POST to the /image-to-video endpoint and include an image URL alongside the prompt.

Check current rates on the GPT Proto model page before you scale up — video prices move fast in this market.

Verdict

For most people asking "what's the most affordable AI video generator in 2026," the answer is Vidu Q3 Pro at $0.04 a generation — the lowest price on the market attached to a model that ranks #2 for text-to-video quality. It's not merely cheap; it's cheap and good, which is rare.

Pick by job:

  • Best overall value: Vidu Q3 Pro
  • Human motion and realism on a budget: Kling v3.0 Standard
  • Animating an existing image: Hailuo 2.3 Standard
  • 1080p with a full soundtrack: Wan 2.6
  • The one shot that must be perfect: Sora 2 (realism) or Veo 3.1 (4K)

Ready to try it? Start with Vidu Q3 Pro or compare pricing across all video models.

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常見問題

2026 年最便宜的 AI 影片生成器是哪一款?

以單次生成價格來看,Vidu Q3 Pro 生成一段具原生音訊的 16 秒影片只要 0.04 美元——大約比 Sora 2 便宜 10 倍、比 Veo 3.1 便宜 12 倍,同時在 Artificial Analysis 的 Video Arena 文字轉影片品質排名第 2。

有真正免費的 AI 影片生成器嗎?

有——Kling 的每日免費方案(720p、有浮水印)、Wan 和 LTX 等開源模型(如果你擁有足夠效能的 GPU,便可免費使用),以及透過 AI Studio 使用的 Google Veo(受速率限制)。這些工具都適合評估用途:你需要接受浮水印、商業使用限制,以及即使生成失敗也會被消耗的點數。若要投入正式製作,超低價的單次 API 存取通常比設法繞過免費方案限制更便宜。

Vidu 和 Kling,我該使用哪一款?

若要製作較長的電影感影片、控制攝影機,並追求最低價格(0.04 美元,相較於 0.2016 美元),選 Vidu Q3 Pro。若重視人物動作與臉部真實感,選 Kling v3.0,它在這方面更強。以這些價格來看,同時使用兩者並以實際提示詞比較,成本只要幾美分。

按秒計價能完整反映成本嗎?

不能。兩件事會影響實際成本:取得可用影片所需的重試次數(應預留 2–4 次),以及按秒計費與按次生成計費之間的差異。GPTProto 按次生成計費,因此誠實的衡量標準是每部可用影片的成本,而不是表面上的價格。

我能以實惠的價格使用 Sora 2 和 Veo 3.1 嗎?

單獨使用並不便宜——兩者分別是每次生成 0.40 美元和 0.50 美元。更具成本效益的做法是使用 Vidu 或 Kling 完成專案,只在必須完美的主視覺鏡頭上使用 Sora 或 Veo。

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