The same prompt on several models at once
Your agent runs one prompt on four models and lays the results out with what each cost.
Nobody can tell you which model suits your prompt without running it. Your agent fires the same prompt at a cheap model, a mid one and an expensive one, then shows you all of them with the price of each.
You say: "Run this prompt on four image models and show me what each one cost."
Three steps to have your agent running this
- Connect Bildy at
https://bildy.ai/mcpand sign in with your Bildy account. Setup per client. - Copy the text below and save it as
.claude/skills/model-bake-off/SKILL.md, or paste it into whatever your agent reads for instructions. - Ask for what you want. Your agent reads the skill and follows it.
Bildy tools this skill calls
- images_list_models
- images_generate
- images_get_job
The whole file
--- name: bildy-model-bake-off description: Run one prompt through several image or video models at once and lay the results out side by side with what each one cost. Use when someone asks which model to use, whether a cheaper model is good enough for a job, or wants to see the difference between Nano Banana, Seedream, Flux and the rest on their own prompt. --- # The same prompt on several models Nobody can tell you which model suits a job, because it depends on the prompt. Running the prompt on four models costs a few cents and settles it. ## Picking the line-up Call `images_list_models` or `videos_list_models`. Each one tells you the price per image or per second, so you can put a cheap model, a mid model and an expensive one in the same run and see whether the expensive one earns it. Four models is usually enough. For images that is four times the price of one image, which on the cheaper models is under a cent each. Some jobs have an obvious shortlist: - Text inside the picture: the models that handle typography, which the list names in their descriptions. - Editing a photo rather than making one: only the editing models, called through `images_edit`. - A person who has to look the same across several pictures: the models built for character consistency. ## Steps 1. Get the prompt. Use theirs exactly, unchanged, on every model. Changing a word between runs makes the comparison worthless. 2. Fire one `images_generate` call per model, all of them, without waiting for each to finish. 3. Collect the job ids and poll `images_get_job` on each until they are all completed. 4. Show the results together, each one labelled with the model name and what that image cost. 5. Say which one you would pick and why, in terms of the prompt. "Seedream got the hands right and Flux did not" helps. "Seedream is better" does not. ## Reading the results Judge against the prompt rather than against each other. A picture can be prettier and still be the wrong answer, because it left out half of what was asked for. Run it twice on the two finalists before deciding. Models vary a lot between runs on the same prompt, and one lucky image is not a verdict. Weigh the cost in too. If the cheap model gets it right eight times out of ten and the expensive one gets it right ten times out of ten at twelve times the price, the cheap one wins for a big batch and loses for a single hero image. ## For video The same idea works with `videos_generate`, but a clip costs far more than an image and takes minutes. Run the shortest length each model allows, and only compare two or three models.
Other skills for the same tools
Product photos from one picture
A photo you took on a desk becomes a set of clean shots for a shop listing.
Ad variants in every placement size
Your agent composes each crop separately, with room left for the headline.
A clip from a picture you already have
A still becomes frame one and the model carries on from there.
A video longer than one generation
Each clip starts on the frame the last one ended on, so the run carries on instead of jumping.
A script into a run of clips that cut together
Every shot gets a still first, because a still costs a fraction of a clip.