# Models Comparison

Choose the model behavior that best fits your support use case.

## Choose a model for your workflow

Select a model from the current model picker in Instructions or Settings. Model availability and limits depend on the deployment and plan; the picker is the current source of available choices.

## Compare on the same questions

| Criterion | Check |
| --- | --- |
| Accuracy | Does the answer match the source and avoid invented details? |
| Actions | Does the model select the correct action and collect the required inputs? |
| Latency | Measure the complete customer-visible response. |
| Credits | Compare actual usage for the same set of tasks. |
| Style | Check tone, length, and language against your instructions. |

## Run a comparison

1. Use a representative set of product questions, follow-ups, unknowns, and action requests.
2. Run each set in fresh conversations with the same sources and instructions.
3. Change the model and repeat the same scenarios.
4. Compare outcomes and usage before selecting the model for production.

## Token limits and instructions

Keep the response token limit large enough for the expected answer or tool result. A more capable model cannot supply a missing policy or repair a disconnected action. Correct the source or workflow first.

- [Playground](/docs/user-guides/agent-management/playground)
- [Response quality](/docs/user-guides/ai-performance/response-quality)