---
title: How to Choose an AI Model for Your Bot
description: "A practical framework for choosing an AI model for a bot based on task quality, latency, tool use, reliability, privacy, and cost controls."
canonical: "https://deploy-hermes.com/getting-started/choosing-an-ai-model-for-your-bot"
last-updated: "2026-08-23"
---

# How to Choose an AI Model for Your Bot

> A practical framework for choosing an AI model for a bot based on task quality, latency, tool use, reliability, privacy, and cost controls.

Canonical: https://deploy-hermes.com/getting-started/choosing-an-ai-model-for-your-bot
Updated: 2026-08-23 · Search intent: commercial
Category: [Getting Started](/getting-started)

Choose an AI model from the work your bot must complete, not from a leaderboard headline. Define the task, test representative inputs, and record failure modes before you commit to a provider or model policy.

## Write the job before the model shortlist

Start with the inputs, output shape, tools, and consequences of a wrong answer. A bot that drafts low-risk text has a different bar from one that changes a ticket, sends a message, or handles private workspace data.

Record a small evaluation set from real requests. Include short prompts, ambiguous requests, long conversations, tool failures, and a request that must be refused. This set becomes more useful than a generic model ranking.

## Compare the whole request path

Measure quality together with response time, provider availability, tool-call behavior, and the shape of errors. A model that looks fast in isolation may be slower once your bot adds retrieval, an approval step, or a channel delivery retry.

Keep pricing and model availability time-bound. Provider catalogs and commercial terms change, so link to the provider's current documentation when you publish an exact fact instead of baking it into a permanent promise.

## Use a fallback policy deliberately

A fallback can improve resilience, but it can also change output quality or data handling. Decide which requests may fall back, whether the alternate provider has the same tool contract, and how the user will know a different provider handled the turn.

Hermes Agent lets connected provider credentials participate in the runtime's provider policy. Start with one provider and a visible failure path; add a second only after you can explain the behavior when the primary is unavailable.

## Frequently asked questions

### Should I choose the most powerful model for a bot?

Not automatically. Choose the least costly and complex option that meets your tested quality, tool, safety, and reliability requirements.

### How often should a bot model be reevaluated?

Reevaluate when the provider changes its catalog or terms, when your task changes, and when production failures show that the original evaluation set no longer represents real use.

## Sources

- [xAI model documentation](https://docs.x.ai/developers/models) (as of 2026-08-23)
- [OpenAI models documentation](https://developers.openai.com/api/docs/models) (as of 2026-08-23)
- [Anthropic model list](https://platform.claude.com/docs/en/api/models/list) (as of 2026-08-23)
- [Google Gemini models](https://ai.google.dev/gemini-api/docs/models) (as of 2026-08-23)

---

- [Full documentation index](/llms.txt)
- [Complete site text](/llms-full.txt)
- [Developer portal](/developers)
- [OpenAPI contract](/openapi.json)
- [MCP server card](/.well-known/mcp.json)