---
title: Cutting LLM Token Costs
url: "https://goremy.ai/blog/topic/cutting-llm-token-costs"
type: topic
updated: "2026-10-25T15:20:07.440Z"
posts: 8
---

# Cutting LLM Token Costs

Cutting LLM token costs with practical methods for lowering agent and API bills, including prompt caching, spend caps, and local indexing. Compare methods side by side.

Answers: How can I reduce my LLM API bill with prompt caching and spend caps?

## Posts (8)

- [How Do You Cut Claude Token Costs When Running Agents?](https://goremy.ai/blog/articles/claude-api-cost-management-caching-batch-model-matching) (2026-10-25): Claude agents can cost thousands a day. Learn how prompt caching, batch APIs and matching Haiku, Sonnet and Opus to tasks cut token spend.
- [How Long Does DeepSeek Cache Prompts, and How Do You Pay Less?](https://goremy.ai/blog/articles/deepseek-prompt-caching-how-long-and-cost) (2026-10-22): DeepSeek keeps its KV cache on disk for 3 days (agents) or 7 days (chat), and 96% of input tokens hit cache. Learn to keep prefixes stable and cut API cost.
- [How to Limit AI API Costs With Hard Spend Caps](https://goremy.ai/blog/articles/how-to-limit-ai-api-costs-with-hard-spend-caps) (2026-10-21): Learn how to set hard, pre-call spend caps on AI APIs, provider by provider, plus loop guards and rate limits that stop a runaway agent's bill.
- [How to Reduce LLM API Costs: 5 Methods Compared](https://goremy.ai/blog/articles/how-to-reduce-llm-api-costs-5-methods-compared) (2026-10-21): Learn how to cut LLM API costs with prompt caching, batching, model routing, context trimming, and self-hosting, plus the pricing math behind each method.
- [How to Reduce LLM Token Usage With Local Indexing](https://goremy.ai/blog/articles/how-to-reduce-llm-token-usage-with-local-indexing) (2026-10-21): Learn how local vector databases, AST indexes, and semantic tool routers can cut LLM token spend 40-90% by sending only the context each query needs.
- [How to Reduce AI API Usage Costs Before an Employee's Agent Blows the Budget](https://goremy.ai/blog/articles/how-to-reduce-ai-api-usage-costs-from-employee-built-agents) (2026-09-26): Employee-built AI automations can spike your API bill fast. Here are the trigger, budget, and caching fixes that cut AI API usage costs 70-90%.
- [How to Reduce LLM API Token Costs for AI Agents](https://goremy.ai/blog/articles/how-to-reduce-llm-api-token-costs-for-ai-agents) (2026-09-25): Agentic workflows burn 5 to 1,000x more tokens than chat. Here's the caching, code execution, routing, and self-hosting playbook that cuts agent bills 40 to 90 percent.
- [How API Token Cache Pricing Works (And Why It Decides Your Real Bill)](https://goremy.ai/blog/articles/how-api-token-cache-pricing-works-and-why-it-matters) (2026-09-10): Anthropic cut Claude's cache-read price 75% without touching the sticker rate. Here's how token cache pricing works and why it decides your real AI bill.