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Generative AI & Models10 min read

Anthropic releases Claude Haiku 5.5 with 1M context and lower costs

Anthropic released Claude Haiku 5.5 on October 7, 2026, positioning it as its fastest and most cost-effective small model for high-volume tasks. The new model features a 1M token context window and adaptive thinking. While list prices for prompts up to 100,000 tokens drop to $0.10 per million input tokens and $0.50 per million output tokens, Anthropic notes that a newer tokenizer increases token…

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What you can do with it

AI at Work →
Claude Haiku 5.5 by Anthropic

Sort support tickets with Claude Haiku 5.5

Processes high-volume text tasks like classification and extraction quickly.

Who for
operations and support teams
Cost
paid from $0.10
Effort
needs a developer

Use it for

  • Sort support tickets
  • Extract invoice details
  • Summarize long documents

How to set it up · From the article

  1. Install the Anthropic Python SDK
  2. Set your API key in the environment
  3. Run the classification script with your data

Watch out Temperature and topp parameters are no longer supported

Try it ↗ What happened · KDnuggets Answer customers fasterRun the business needs a developer

Claude Haiku 5.5 in the tool directory

Key points from the news

  • Claude Haiku 5.5 costs $0.10 per million input tokens for prompts up to 100,000 tokens.
  • A new tokenizer increases token counts by roughly 30%, reducing average savings to about 75%.
  • Sending temperature, topp, or topk parameters now returns an error in the API.

The release includes breaking changes for developers: sending temperature, topp, or topk parameters now returns an error, as does manual thinking with budgettokens. Adaptive thinking is enabled by default, meaning thinking tokens count toward the maxtokens limit. Safety classifiers are stricter, potentially declining requests with a "refusal" stop reason, which requires code updates to handle properly.

The article provides Python code examples for using Haiku 5.5 in classification, extraction, and sub-agent workflows. It highlights that while Haiku 5.5 excels at narrow, repetitive jobs like summarization and routing, larger models like Sonnet 5.5 or Opus 5.5 remain better suited for complex agentic coding. Companies like Cognition and AlphaSense have already integrated the model, reporting lower latency and improved performance on specific document tasks.

Model pages: Claude Sonnet 5.5 → · Claude Opus 5.5 →

The story so far

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  1. Anthropic releases Claude Haiku 5.5 with 1M context and lower coststhis story
Full story from KDnuggets · by Shittu OlumideOpen source ↗

Claude Haiku 5.5: What’s New and How to Use It for Fast, Cheap AI Workflows

KDnuggets · 19 October 2026

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This text was published by KDnuggets and written by Shittu Olumide. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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