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Prompt Caching Performance Impact

12 posts on prompt caching performance impact — part of benchmarks & performance on the n4n AI blog.

12 postsBenchmarks & performanceAll posts
Benchmarks & performanceGuide

Structuring prompts for maximum caching latency benefit

Practical guide to structure prompts for caching latency gains: ordered steps, code patterns, and tradeoffs for LLM inference gateways.

5 min read
Benchmarks & performanceAnalysis

Prompt caching TTL: latency impact as caches expire

Analyze how prompt caching TTL latency degrades as caches expire, causing tail-latency cliffs, and what engineers can do to measure and mitigate it.

5 min read
Benchmarks & performanceAnalysis

Prompt caching latency at scale: thousands of requests

Analyzes real-world prompt caching latency at scale across thousands of requests, covering cache hits, eviction, prefix design, and measurable TTFT tradeoffs.

4 min read
Benchmarks & performanceAnalysis

How prompt caching changes latency for long system prompts

Analyzes how prompt caching long system prompt latency behaves in production, with mechanics, tradeoffs, code to measure TTFT, and a decisive takeaway.

4 min read
Benchmarks & performanceAnalysis

Gemini context caching: measuring time to first token

Analyze how Gemini context caching affects time to first token, with measurement code and tradeoffs for engineers running large prompt prefixes in production.

4 min read
Benchmarks & performanceAnalysis

Does prompt caching help small prompts? A latency test

We test whether prompt caching small prompt latency improvements appear for short inputs. Realistic analysis shows caching aids cost, not speed, for tiny prompts.

4 min read
Benchmarks & performanceAnalysis

DeepSeek context caching: latency and cost impact

Analysis of DeepSeek context caching latency and cost: how prefix caching affects TTFT and token billing, with code to measure and guidance on tradeoffs.

3 min read
Benchmarks & performanceAnalysis

Prompt caching on GPT-4o: how much faster is a cache hit?

Practical analysis of GPT-4o prompt caching cache hit latency: how prefix KV caching cuts time-to-first-token, when it helps, and how to measure it.

5 min read
Benchmarks & performanceAnalysis

Claude prompt caching: latency savings measured

Analyzes Claude prompt caching latency savings with real request patterns, cache hit mechanics, and tradeoffs for engineers building LLM systems.

5 min read
Benchmarks & performanceComparison

Cached vs uncached tokens: a side-by-side latency benchmark

A head-to-head look at cached vs uncached tokens latency, cost, and ergonomics, with a benchmark table and guidance on when to use prompt caching.

5 min read
Benchmarks & performanceComparison

Cache hit vs cache miss: latency benchmarks across providers

Head-to-head comparison of cache hit vs cache miss latency on Anthropic, OpenAI, and Google: setup code, pricing, limits, and a use-case verdict.

4 min read
Benchmarks & performanceComparison

Anthropic vs OpenAI prompt caching: latency compared

Practical head-to-head on Anthropic vs OpenAI prompt caching latency: cache mechanics, cost, TTFT impact, ergonomics, limits, and which to choose.

5 min read

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