Articles tagged with “llm-inference-cost”

LLM Prompt Caching: Cost Savings, Invalidation & Workload Design

A 2026 reference on LLM prompt caching cost savings, covering Anthropic, OpenAI, Google Gemini, AWS Bedrock, and DeepSeek pricing, cache invalidation triggers, and a reproducible break-even worksheet formula.

27 min read

9/5/2026

prompt caching llm cost optimization anthropic claude openai api pricing cache invalidation llm inference cost context caching api cost savings prompt engineering

LLM API Pricing 2026: A Reproducible Cost-per-Task Comparison

Compares OpenAI, Anthropic, Google, xAI, Mistral, and open-weight API pricing as of September 2026, with a reproducible cost-per-task method covering caching, batch, and reasoning tokens.

22 min read

9/5/2026

llm api pricing cost per token cost per task openai pricing anthropic pricing gemini api pricing llm inference cost total cost of ownership api pricing comparison

AI Model Routing: Cost and Quality Optimization Guide

A 2026 data report on AI model routing for cost and quality optimization: OpenAI, Anthropic, Google, and Mistral pricing tiers, RouteLLM and FrugalGPT benchmarks, and enterprise TCO data.

30 min read

9/5/2026

ai model routing llm routing cost optimization model routing cost llm inference cost ai model comparison routellm openrouter enterprise ai cost llm evaluation

KV Cache Memory: The Real Cost of Long-Context Inference

A 2026 technical guide to KV cache memory in long-context LLM inference: the formula, worked examples for Llama 3, Mistral, Qwen2 and DeepSeek-V2, GPU cost data, and reduction techniques like GQA, MLA, and quantization.

27 min read

9/5/2026

kv cache long context inference llm inference cost gpu memory grouped query attention kv cache quantization transformer memory inference optimization multi head latent attention