You must pick a model for a task. What should guide the choice?
Why C is the answer
The model's capabilities, cost and fit for your task
Match capabilities such as vision or reasoning to the task, then weigh cost and speed.
In detail
- Choose by capabilities, cost and fit for your task.
- Test with your own prompts.
Use case
An illustrative scenario, not a real incident.
A team chooses a small model for simple classification and a stronger one for reasoning, based on capability and cost, not on what is newest.
See it in different ways
sequenceDiagram participant D as Developer participant F as Foundry participant A as App D->>F: Choose a model in the catalog D->>F: Deploy it D->>F: Test it in the playground A->>F: Call the endpoint
mindmap
root(("Choosing a model"))
n1["Capabilities"]
n2["What it can do"]
n3["Cost"]
n4["Price of use"]
n5["Fit"]
n6["Your task"]Key point: Choose by capability, cost and fit.
Why the other options are wrong
- A. The newest release, because newer models suit every task
- Newest does not mean best for every task.
- B. The model with the largest context window
- A larger window may cost more, with no benefit.
- D. Whichever model was used in the last project
- A past choice may not suit this task.