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Anthropic · Released October 7, 2026

Claude Haiku 5.5 Prompt Generator

20 free Claude Haiku 5.5 prompts for high-volume tasks — classification, summarization, support routing and data extraction. Anthropic's fastest and cheapest model. Copy into Claude or the API. No signup.

$0.10 / $0.50 per M Tokens 75% Cheaper Than Haiku 4.5 1M Token Context Adjustable Effort Free Plan Access

What Is the Claude Haiku 5.5 Prompt Generator?

This Claude Haiku 5.5 prompt generator gives you 20 copy-paste prompts written for Claude Haiku 5.5, the model Anthropic released on October 7, 2026 as the fastest and most affordable model in the Claude 5.5 family. At $0.10 per million input tokens for prompts under 100K tokens, it costs about 20× less than Claude Sonnet 5.5 on a per-token basis — making it the right choice whenever you need to run the same task at scale.

Haiku 5.5 is the first Haiku-class model with an adjustable effort setting, with adaptive thinking on by default. It accepts text and images and outputs text. The 20 prompts below cover the tasks where Haiku 5.5 delivers the most value: classification, tagging, triage, summarization, data formatting, bulk content, and support drafts. Each prompt is ready to copy into Claude.ai or paste into an API call with claude-haiku-5-5.

Which Effort Level to Use

Effort controls how much Haiku 5.5 thinks. For high-volume pipelines, low effort keeps costs minimal. Medium handles most everyday tasks.

Low

Batch classification, tagging, quick extractions. Fastest and cheapest — use for high-volume pipelines.

Medium

FAQs, drafts, formatting, translations. Default in Claude apps. Best balance for most tasks.

High

Longer output, structured extraction, bulk content. More thorough — worth the small extra cost for complex batches.

20 Free Claude Haiku 5.5 Prompts — Copy & Paste

Built for high-volume tasks. Replace the [bracketed] parts with your own details.

Marketing low effort

Email Subject Line Generator

Write 5 subject lines for an email about [topic]. Requirements: under 45 characters each, no clickbait, no exclamation marks, plain language. The audience is [describe audience]. Output as a numbered list — nothing else.

Classification low effort

Sentiment Classifier

Classify the sentiment of each review below as Positive, Negative, or Neutral. Output a JSON array with objects containing "id" and "sentiment". Do not explain. [Paste reviews with IDs]

Support low effort

Support Ticket Triage

Assign each support ticket below to one of these categories: Billing, Technical, Account, Feature Request, Other. Output only a JSON array: [{"id": "...", "category": "..."}]. Do not explain. [Paste tickets with IDs]

Summarization low effort

One-Line Summaries

Summarise each item below in exactly one sentence of under 20 words. Output a numbered list matching the input order. [Paste paragraphs or articles]

Data low effort

Tag Extraction

Extract up to 5 keyword tags from each text below. Return a JSON array: [{"id": "...", "tags": [...]}]. Tags must be lowercase, no punctuation. [Paste texts with IDs]

Marketing low effort

Product Description Writer

Write a product description for: [product name]. Key features: [list 3–5 features] Target buyer: [describe buyer] Length: 60–80 words. Tone: clear, confident, no hype. End with one sentence about delivery or guarantee if relevant.

Support medium effort

FAQ Answer Generator

Answer each FAQ below for [company / product name]. Keep each answer under 60 words. Plain language, no jargon. If a question is outside your knowledge, write "Contact our support team at [email]." [List FAQs]

Writing medium effort

Language & Tone Standardiser

Rewrite the text below to match our brand voice: professional but conversational, active voice, second person ("you"), no passive voice, no exclamation marks. Keep all facts unchanged. Return only the rewritten text. [Paste text]

Data medium effort

Data Formatter

Convert the data below from [current format, e.g. unstructured list] to [target format, e.g. CSV / JSON / Markdown table]. Column names: [list them]. If a field is missing, use null. Return only the formatted output. [Paste data]

Writing medium effort

Quick Translation

Translate the following from [source language] to [target language]. Keep the original formatting and line breaks. Do not add notes or commentary — return only the translated text. [Paste text]

Productivity medium effort

Meeting Agenda Builder

Build a meeting agenda for a [duration]-minute [meeting type] with these attendees: [list roles]. Topics to cover: [list topics]. Format: numbered agenda items with estimated minutes each, one prep note per item. Allocate time so it totals [duration] minutes exactly.

Data medium effort

URL Slug Generator

Generate an SEO-friendly URL slug for each title below. Rules: lowercase, hyphens not underscores, remove stop words, max 7 words. Output a JSON array: [{"title": "...", "slug": "..."}]. [Paste titles]

Support medium effort

Customer Reply Drafts

Draft a reply to each customer message below. Each reply: under 80 words, professional tone, resolve the issue if possible, end with a clear next step. Return numbered drafts matching the input order. [Paste customer messages]

Data medium effort

Batch Metadata Generator

For each product below, generate: a 160-character meta description (include the product name and its main benefit), an alt text for the hero image (under 125 characters, descriptive), and 3 structured data tags. Output as JSON. [Paste product names and short descriptions]

Classification medium effort

Moderation Filter

Review each post below. Flag it as Safe, Review, or Remove based on these rules: - Remove: hate speech, illegal content, explicit threats - Review: potentially misleading claims, borderline content - Safe: everything else Output JSON: [{"id": "...", "verdict": "...", "reason": "one sentence"}]. [Paste posts with IDs]

Coding medium effort

Routing Logic Writer

Write a [Python / TypeScript / JavaScript] function that routes incoming [requests / messages / events] to the correct handler based on these rules: [Describe routing rules] Handlers available: [list function names]. The function must return the handler name as a string. Include a default fallback.

Marketing high effort

Bulk Short-Form Content

Write 10 [Twitter / LinkedIn / Instagram] posts about [topic or campaign]. Each post: [character limit] characters max, hook in the first line, no hashtags unless specified, ends with a call to action. Vary the angle — don't repeat the same point. Output as a numbered list.

Data high effort

Structured Data Extractor

Extract the following fields from each document below and return a JSON array. Fields: [list field names and types]. If a field is not present in a document, use null. Do not infer values — only extract what is explicitly stated. [Paste documents]

Business high effort

Competitive Feature Matrix

Build a feature comparison matrix for [product] vs [competitor 1], [competitor 2], [competitor 3]. Features to compare: [list features] Format as a Markdown table. Use ✓ for yes, ✗ for no, and a short note (under 8 words) for partial support. Base the competitor data only on what I provide below. [Paste competitor data]

Writing high effort

Policy Plain-Language Rewrite

Rewrite this policy section in plain language for a general audience. Target reading level: US grade 8. Keep every legal requirement — do not remove clauses or change their meaning. Add a one-sentence plain-English summary at the top of each section. Flag any clause you were uncertain how to simplify. [Paste policy text]

Claude Haiku 5.5 vs Similar AI Models (2026)

Where Haiku 5.5 fits in the model landscape, and which prompt generator to use for each.

Model Best for Relative cost Prompts
Claude Haiku 5.5 ✓ High-volume batch tasks, classification, triage, quick summaries $0.10 / $0.50 per M tokens (under 100K) This page
Claude Sonnet 5.5 Agentic coding, screenshot-to-code, complex reasoning $2 / $10 per M tokens Sonnet 5.5 prompts
Claude Opus 5.5 Deepest reasoning on very long documents and audits Highest Opus 5.5 prompts
GPT-6 Luna OpenAI's small fast model — comparable price tier Low GPT-6 Luna prompts
Gemini 3.8 Flash Google's fast model — coding and agent tasks Low Gemini 3.8 Flash prompts
Claude Fable 5.1 Anthropic's flagship for hardest research and agent tasks Highest Fable 5.1 prompts

Claude Haiku 5.5 Prompting Tips

Do

  • Use low effort for batch classification and tagging — it's the fastest and cheapest setting
  • Specify the exact output format (JSON, numbered list, CSV) — Haiku 5.5 follows format instructions reliably
  • Keep prompts short and directive: state the task, the output format, and any constraints in that order
  • Pass IDs alongside items in batch tasks so you can match outputs back to inputs
  • Pin claude-haiku-5-5 in API calls to avoid automatic upgrades changing your pipeline
  • Use it in parallel — Haiku 5.5's speed makes fan-out architectures viable at low cost

Avoid

  • Tasks requiring deep multi-step reasoning — use Sonnet 5.5 or Opus 5.5 instead
  • Asking for nuanced creative writing where tone and voice matter most
  • Long agentic loops that need self-correction over many steps
  • Treating output as final for legal, medical, or financial decisions
  • Vague instructions like "improve this" — be specific about what you want changed
  • Switching to a larger model by default — try Haiku 5.5 first and only upgrade when output falls short

Claude Haiku 5.5 — Frequently Asked Questions

What is Claude Haiku 5.5?

Claude Haiku 5.5 is Anthropic's cheapest and fastest model, released on October 7, 2026 as the third model in the Claude 5.5 family after Sonnet 5.5 and Opus 5.5. It is designed for high-volume tasks like classification, summarization, support routing, and data extraction. Its API model ID is claude-haiku-5-5.

How much does Claude Haiku 5.5 cost?

For prompts up to 100K tokens — which covers about 90% of Haiku requests — Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens. Above 100K tokens the rate rises to $0.50 input and $2.50 output per million. Batch processing takes another 50% off. Anthropic estimates it runs about 75% cheaper than Haiku 4.5 on average after accounting for the updated tokenizer.

What are Claude Haiku 5.5's effort levels?

Haiku 5.5 is the first Haiku-class model with an adjustable effort setting. It supports low, medium, and high effort. Adaptive thinking is on by default, and the effort defaults to medium. Low effort is ideal for quick batch tasks; high effort gives more thorough output for complex formatting or longer content. Matching effort to the task keeps costs down and throughput high.

Is Claude Haiku 5.5 better than Claude Sonnet 5.5?

Haiku 5.5 is much cheaper and faster than Sonnet 5.5, but Sonnet 5.5 is more capable for complex reasoning, agentic coding, and multi-step tasks. The right split is to route simple, repetitive work — classification, summarization, short drafts, data extraction — to Haiku 5.5, and reserve Sonnet 5.5 for tasks where accuracy and depth matter more than cost per request.

What is the context window of Claude Haiku 5.5?

Claude Haiku 5.5 has a 1 million token context window with up to 128K tokens of output per request — the same as the rest of the Claude 5.5 family. The practical cost floor is the 100K-token pricing tier, so you can pass substantial context without crossing into the higher rate on most requests.

Where can I use Claude Haiku 5.5?

Haiku 5.5 is available in the Claude apps on all plans including free, in Claude Code, through the Claude API, and on Amazon Web Services, Google Cloud and Microsoft Azure. All 20 prompts on this page are free to copy and paste into any of them.

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