---
date: 2024-07-18
title: Token/cost tracking for GPT-4o mini
description: Day 1 support for OpenAI GPT-4o mini including tracking token counts and USD spend.
ogImage: /images/changelog/2024-07-18-gpt-4o-mini.png
showOgInHeader: false
author: Marc
canonical: /docs/observability/features/token-and-cost-tracking
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the canonical documentation for this feature (https://langfuse.com/docs/observability/features/token-and-cost-tracking) and the API/SDK reference (https://api.reference.langfuse.com).

According to the OpenAI [release note](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/), GPT-4o mini is OpenAI's most cost-efficient small model that's smarter and cheaper than GPT-3.5 Turbo.

Learn more about usage and cost tracking in Langfuse [here](/docs/model-usage-and-cost).

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---

## Agent Instructions

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### Querying these docs

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### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
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Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.