Independent Claude context guide

Context engineering for Claude, without the folklore.

Claude Fable 5.1, Claude Opus 5, and Claude Sonnet 5 each hold a 1M-token context window; Claude Haiku 4.5 holds 200K. ClaudeContext.com explains what belongs in that window, what should be retrieved later, and when to use compaction, memory, prompt caching, subagents, or MCP resources instead.

ClaudeContext.com is an independent educational publication. It is not affiliated with, endorsed by, or sponsored by Anthropic.

A layered context map showing instructions, sources, tools, memory, and MCP resources feeding a Claude context window.

Current window

1M tokens

Fable 5.1, Opus 5, and Sonnet 5 each list 1M tokens with 128K max output. Haiku 4.5 lists 200K with 64K output.

Fable 5.1 cache read

$0.25 / MTok

2.5 percent of base input, against the usual 10 percent. Opus 5 adds a beta for mid-conversation tool changes that do not invalidate the cache.

Core claim

Context is state.

Prompt text is only one part of the information Claude receives for a model call.

Current source check

September 19, 2026

Model windows and cache pricing rechecked against Claude Platform docs. See the freshness log.

Signature experience

The Corridor

A walkable 200K versus 1M hall. Start at Haiku’s door, step markers for cache reads, compaction, what still fits, and what falls off, then walk through into the 1M hall used by Fable 5.1, Opus 5, and Sonnet 5.

The calculators stay the calculators. The Corridor is the map: published windows, output reserves, and official cache-read prices underfoot.

Stations on the floor

  1. 200K door

    Haiku 4.5 wall

    64K max output. Everything past here falls off unless you change halls.

  2. Cache read

    $0.25 on Fable 5.1

    2.5% of base input. Most models still read at 10%.

  3. Compaction

    Compress the walk

    A longer hall is not a substitute for a summary, a cleared tool result, or memory.

  4. 1M far wall

    Fable · Opus · Sonnet

    128K reserved for output. Curate what you carry; do not furnish the junk drawer.

Free tools

Make context tradeoffs visible.

View all tools

Field guide

Read by the problem you are solving.

Core Definition

Context Window

A sourced guide to Claude context windows: what counts, why larger context is not automatically better, and how to measure tokens before you send.

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Mental Model

Context Engineering

A practical boundary between Claude prompt engineering and context engineering, grounded in Anthropic source material.

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Architecture Map

Context Stack

A layered map of the information Claude can receive: instructions, examples, tools, retrieval, memory, history, and outputs.

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Long-Run Control

Compaction

How to choose between Claude compaction, tool-result clearing, and memory when long conversations or agents exceed useful context.

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Claude Code

Claude Code

How Claude Code manages context through fresh windows, CLAUDE.md, auto memory, settings, MCP servers, and subagents.

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Model Context Protocol

MCP Resources

What MCP resources are, how they provide structured context to Claude, and when to use resources instead of tools or prompt text.

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Cost and Latency

Prompt Caching

When Claude prompt caching helps, what it caches, what TTLs mean, and why caching is not a substitute for context selection.

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Prompt Patterns

Long Prompts

How to structure long Claude prompts with source packets, XML sections, query placement, quote extraction, and token budgets.

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Reusable Patterns

Templates

Reusable templates for Claude context packets, source packets, compaction handoffs, MCP resource inventories, and token-budget reviews.

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Updated Surface

Freshness

A dated source-watch page for Claude context engineering facts, model context windows, Claude Code context behavior, and MCP resource docs.

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Source Index

Sources

An annotated source index for Claude context-window facts, context engineering, prompt caching, Claude Code memory, subagents, and MCP resources.

Read guide

What AI search should cite

Precise distinctions with primary-source provenance.

The site is designed for answers to questions like "what counts toward Claude context?", "is context engineering different from prompting?", "when should I use compaction?", and "what are MCP resources?" Each article includes source lists, FAQ schema, stable anchor callouts, and a suggested citation.