Claude Haiku 5.5: How to Use the World's Cheapest Claude Model for High-Volume Tasks

Anthropic released Claude Haiku 5.5 on October 7, 2026 — the third and cheapest member of the Claude 5.5 family, behind Sonnet 5.5 and Opus 5.5. At $0.10 per million input tokens (for prompts under 100K tokens), it is roughly 20× cheaper per token than Claude Sonnet 5.5 and costs about 75% less than the previous Haiku 4.5 on average. Its model ID is claude-haiku-5-5.

Haiku 5.5 is designed for one job: high throughput. If your workflow involves running the same operation thousands of times — classifying tickets, summarizing articles, extracting structured data, routing requests, drafting short replies — Haiku 5.5 is the right tool.

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What Is Claude Haiku 5.5?

Haiku 5.5 is Anthropic's fastest and most affordable production model. Key specs:

Anthropic says about 90% of Haiku API requests stay under 100K tokens, so most production pipelines run at the lowest price tier. Batch processing knocks another 50% off. The updated tokenizer means the 75% average savings holds even though some per-token rates look higher than Haiku 4.5.

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The Three Effort Levels

Haiku 5.5 is the first Haiku-class model with an adjustable effort setting. Effort controls how much the model reasons before generating output:

Low — fastest, cheapest. Use for batch classification, tagging, quick extractions, and any task where consistency in format matters more than depth of reasoning.

Medium — the default in Claude apps. Handles summarization, short drafts, translation, and FAQ answers well.

High — for longer output, structured extraction, or bulk content that needs more thorough generation.

For most high-volume pipelines, low effort is the setting to default to. Only increase if output quality falls short.

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What Haiku 5.5 Is Best At

1. Classification and triage

Haiku 5.5 handles classification reliably at very low cost. Pass it a list of items and a category list, ask for JSON back, and it returns structured output you can pipe directly into a database.

Copy-paste prompt:

Classify each support ticket below into one of these categories: Billing, Technical, Account, Feature Request, Other.
Return only a JSON array: [{"id": "...", "category": "..."}].
[Paste tickets]

2. Summarization at scale

For articles, reviews, meeting transcripts, or any text you need condensed, Haiku 5.5 produces consistently short summaries at the speed your pipeline needs.

Copy-paste prompt:

Summarise each article below in exactly two sentences. Output a numbered list matching the input order.
[Paste articles]

3. Data extraction and formatting

Extracting structured fields from unstructured text is one of Haiku 5.5's strongest use cases. Specify the schema once and process hundreds of documents in a single batch.

Copy-paste prompt:

Extract the following fields from each document below and return a JSON array. Fields: name (string), date (ISO 8601), amount (number), currency (3-letter code). Use null for any field not present.
[Paste documents]

4. Support routing and draft replies

Routing incoming messages to the right team — and generating first-draft replies — is ideal for Haiku 5.5. The drafts are short and format-consistent, which is exactly what a human reviewer needs.

Copy-paste prompt:

For each message below: assign it to a department (Sales, Support, Billing, Legal, Other) and write a 40-word draft reply. Output JSON: [{"id": "...", "department": "...", "draft": "..."}].
[Paste messages]

5. Bulk short-form content

Product descriptions, meta tags, email subject lines, and social snippets — all tasks where volume matters more than creative depth — are a natural fit for Haiku 5.5 at low effort.

Copy-paste prompt:

Write a 60-word product description for each item below. Tone: clear and confident, no hype. Include the product name in the first sentence. Output a numbered list.
[Paste product names and key features]

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Claude Haiku 5.5 vs Claude Sonnet 5.5: When to Use Each

The rule of thumb: start with Haiku 5.5 for any task you're running at volume or where the output is short and structured. If the output quality is not good enough, step up to Sonnet 5.5. Only use Opus 5.5 for tasks where depth and accuracy are worth paying for.

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Tips for Getting the Most Out of Haiku 5.5

Specify the output format exactly. Haiku 5.5 follows format instructions reliably. Saying "return only a JSON array" or "output a numbered list, nothing else" removes ambiguity and speeds up post-processing.

Include IDs in batch inputs. When you pass multiple items, include an ID for each one so you can match the output back to the input without counting lines.

Keep prompts short and directive. Haiku 5.5 does not need elaborate context for simple tasks. State the task, the output format, and any constraints — that is enough.

Pin the model ID. Use claude-haiku-5-5 in your API calls to avoid automatic model upgrades changing your pipeline's behaviour.

Use batch mode for cost. The Anthropic batch API takes another 50% off the per-token rate, so a classification job that costs $1.00 in real-time mode costs $0.50 in batch mode — with the same quality.

Start at low effort. For most classification and extraction tasks, low effort is indistinguishable in quality from medium but meaningfully faster and cheaper. Only raise the effort when output falls short.

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Pricing in Practice

At these rates, Haiku 5.5 makes previously expensive pipelines very cheap. Classifying 100,000 support tickets costs about $4. Summarising 10,000 articles costs about $1.

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Related Resources

Claude Haiku 5.5 Prompt Generator — 20 Free Copy-Paste Prompts

Claude Sonnet 5.5 Prompt Generator — Agentic Coding & Visual Tasks

Claude Opus 5.5 Prompt Generator — Deep Reasoning & Long Documents

How to Use Claude Sonnet 5.5 for Every Task: A Prompt Guide by Effort Level