---
title: "Hire Token Cost Optimisation Specialists for LLM Products"
description: "Token cost optimisation specialists cut LLM bills through routing, caching and smaller prompts. Hire an AI-trained offshore team with oversight done for you."
url: "https://azendo.co/skills/token-cost-optimisation/"
---

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3. Token cost optimisation

# Token cost optimisation specialists for your dedicated team.

Token cost optimisation reduces the spend of a language model system through model selection, prompt reduction, caching, batching and routing, without degrading the output quality that matters.

## Where token cost optimisation fits in a long-term product team.

Routing by task is usually the largest available saving. Most systems send every request to their most capable model, while a large share of those requests, such as classification, routing and simple extraction, are handled just as well by a model costing a fraction as much.

Prompt caching is the second lever and is frequently unused. Systems with a large fixed preamble pay for those tokens on every call, and providers offering caching reduce that substantially for no quality change. It is close to free money for anyone with a long system prompt.

## What your dedicated team does with token cost optimisation.

Cost work needs quality measurement beside it, or it becomes quality reduction with a cost chart. A cheaper model that is adequate on most cases and poor on the ones that matter is not a saving.

Running both together is why cost work belongs with the evaluation harness, agreed as part of how the monthly fee is built.

## Common token cost optimisation use cases.

* Requests routed by difficulty Simple tasks handled by a cheaper model, which is usually the largest saving available.
* Fixed preambles cached Repeated context billed once.
* Quality measured alongside cost Evaluation run with every reduction, so savings are not quality loss.

## Adding token cost optimisation skills to your team.

Cost optimisation is assigned inside AI capacity alongside the evaluation harness, because a saving without a quality measure is not a saving.

At Azendo, token cost optimisation work sits with a [dedicated AI engineering team](https://azendo.co/services/dedicated-ai-engineering-team/). You can add token cost optimisation capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies [hire dedicated developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) this way under one agreement and one monthly fee.

## Roles that use token cost optimisation

* [LLM Engineer AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/llm-engineer/)

## Service areas that use token cost optimisation

* [AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/)

Capacity is agreed across your whole team, with one monthly fee, not per skill.

## Related in ai and machine learning

* [vLLM, a skill in our teams](https://azendo.co/skills/vllm/)
* [MLflow, a skill in our teams](https://azendo.co/skills/mlflow/)
* [Kubeflow, a skill in our teams](https://azendo.co/skills/kubeflow/)
* [OpenAI, a skill in our teams](https://azendo.co/skills/openai/)
* [Anthropic, a skill in our teams](https://azendo.co/skills/anthropic/)
* [Google Gemini, a skill in our teams](https://azendo.co/skills/google-gemini/)
* [Meta Llama, a skill in our teams](https://azendo.co/skills/meta-llama/)
* [Google and open-weight models, a skill in our teams](https://azendo.co/skills/google-and-open-weight-models/)

## Tell us what you need token cost optimisation for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

[Browse all skills](https://azendo.co/skills/)