Generate product clips, ad variations, and short scenes with the video models that fit each job. Try a model on one clip, check the price for your exact settings, then bring it into your workflow with one GPTProto API key.
A good price means little if the motion, text, or subject breaks. Compare sample clips from supported models, then run your own prompt before committing a full batch.
A fixed camera on a single traffic light against a plain grey sky. The light starts red, changes to green, and then changes to amber, in that exact order, each colour holding for a clearly visible moment. No other objects, no camera movement, no cuts.
Resolution, duration, audio, and input mode change the price and the request you need to send. Check those details before you queue hundreds of clips.
Vidu Q2 Pro Fast sells 30 runs. At 540p and 10 seconds one costs $0.096, which is $0.0096 a second. The same model at 1080p for 1 second costs $0.064 — six times the per-second price, for a tenth of the clip.
Price your own batchOne takes a first frame, one takes reference images, one takes neither. One accepts any length from 3 to 15 seconds; another accepts 6 or 10 and nothing in between. Wiring up vendor two meant rewriting vendor one.
See what one body replacesKling v3.0 Std runs 3 to 15 seconds, and switching sound on multiplies the run by 1.5×. Seedance 1.5 Pro doubles when audio is on. Both facts usually arrive from an error message, halfway through a build.
See every tierSee what a second of video costs across Kling, Seedance, Wan, Vidu, and more. Compare GPTProto rates with official prices, then check the resolution, duration, and audio setting behind each number before you run a batch.
See what a second of video costs across Kling, Seedance, Wan, Vidu, and more. Compare GPTProto rates with official prices, then check the resolution, duration, and audio setting behind each number before you run a batch.
秒単位の料金Resolution tiersAudio options| モデル | 価格: GPTProto | 公式比 | OpenRouter比 | コンテキスト | モダリティ | 安定性 | 操作 |
|---|---|---|---|---|---|---|---|
 Minimax H3MiniMax | $0.225秒あたり | −30% | −34% | — | → | 試す | |
 Wan 3.0新着Qwen | $0.0905秒あたり | −10% | −15% | — | → | 試す | |
 Vidu Q3 TurboVidu | $0.0325秒あたり | −20% | −24% | — | → | 試す | |
 Kling v3.0 ProKling | $0.275秒あたり | −20% | −24% | — | → | 試す | |
| Kling v3.0 StdKling | $0.205秒あたり | −20% | −24% | — | → | 試す | |
| Kling v2.6 StdKling | $0.0565秒あたり | −20% | −24% | — | → | 試す | |
| Vidu Q2 Pro FastVidu | $0.0245秒あたり | −20% | −24% | — | → | 試す | |
 Seedance 2.0 (Build 260128)Bytedance | $0.305秒あたり | — | — | — | → | 試す | |
| Seedance 1.5 Pro (Build 251215)Bytedance | $0.0415秒あたり | −15% | −19% | — | → | 試す | |
| Hailuo 2.3 StandardMiniMax | $0.255秒あたり | −10% | −15% | — | → | 試す |
用途と利用量を選ぶと、GPTProto の月額例と、同程度の提供元料金を並べて見られます。
動画とエージェントはクレジットの減りが速いです。用途や利用量を切り替えると、おすすめも自動で変わります。
Test models and compare costs in one place, then use the right one for each job without opening a new billing account every time.
The whole migration is one field — same endpoint, same auth header, same polling route.
Know how jobs are submitted, tracked, and retried. These are the details that keep a video pipeline manageable when a provider is slow or unavailable.
For models with eligible backup routes, new requests can be directed to another available channel. Check the job result before retrying any request that was already submitted.
Track pending, completed, and failed jobs so your application can decide what to retry and what to deliver. Available status behavior depends on the selected model endpoint.
Browse modelsUse the status information and support channels available for your model to spot failures and respond before a large queue piles up.
Choose a model, configure the clip, and enter how many videos you plan to make. Compare that estimated total with the official rate for the same settings.
From testing models to fitting video generation into an existing production workflow.
For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.
I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"
I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.
Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.
I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.
I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.
GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
Choose a top-up amount, then select a model and configuration. You can see the applicable billing unit and price before submitting a clip.
Enough for a first pass of short clips — enough to put a real invoice next to the spreadsheet. Top up $20+ anytime to unlock bonus credits.
The usual first top-up: render a week of real clips, keep the old provider as a fallback, and compare both invoices before you commit.
For pipelines already rendering daily. Bonus credits spend at these same discounted rates, so the bonus deepens the discount instead of sitting off to the side.
Short answers, no sales talk. Every one of these is something a team wiring video generation into a pipeline has actually asked.
Yes. You can build a workflow that submits and tracks many video generation jobs using supported models. Check the API documentation for the submission method, concurrency limits, and status flow of the model you choose. A "batch" does not automatically mean hundreds of clips in one request.
It depends on the model and configuration. Some tiers are quoted by generated second; others are charged per job or output. Open the model's rate card to see the billing unit, supported settings, and estimated cost for your clip.
A catalog "from" price may refer to a shorter clip or a different resolution, mode, or audio setting. The calculator uses the configuration selected here. Always compare the same configuration on both sides.
No. A GPTProto API key gives you access to eligible models in your account. Models can still require different input fields or offer different generation modes, so use the selected model's request example.
Yes, with models that support image-to-video or reference inputs. Select the mode first: image requirements, number of references, aspect ratio, and allowed duration vary by model.
Yes. Choose a model and supported settings, then enter the planned number of clips in the calculator. The figure is an estimate; final charges can change with the actual configuration, live rates, and any retries.
Check the task status and error response for the selected model. A failed or interrupted in-flight render should not be assumed to resume automatically on another provider. Follow the documented retry and billing behavior before resubmitting.
You can keep one GPTProto account and compare models in the same catalog. When switching, review the new model's supported modes, request fields, duration options, pricing, and task-status method. Some application-level changes may still be needed.
Learn how to submit your first video request, compare Seedance, Kling, Wan, and Vidu, and work out what a finished clip will cost.
ブラウザで画像や動画を作るか、一つの API キーでテキスト、画像、動画のモデルをアプリに組み込めます。対象モデルの割引も確認できます。
