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Claude Haiku 5.5

Anthropic

At a glance

Price per 1M tokens (input)
$0.10
Price per 1M tokens (output)
$0.50
Context
1,000,000 tokens
Free access
yes (see below)

Refreshed daily; data verified October 9, 2026. Published October 9, 2026.

Claude Haiku 5.5 by Anthropic is designed for developers and teams building applications that require fast, accurate processing of both text and visual inputs. It supports image understanding to interpret diagrams, charts, or photos, and tool calling to interact with external APIs or databases during reasoning. Its step-by-step reasoning capability enables transparent, multi-stage problem solving for tasks like data validation or workflow automation. Anthropic emphasizes safety and alignment through constitutional AI, ensuring outputs adhere to defined principles without sacrificing performance in real-world use cases.

Specifications & pricing

Input (per 1M tokens)$0.10
Output (per 1M tokens)$0.50
Cache read (per 1M tokens)$0.01
Cache write (per 1M tokens)$0.13
Context window1,000,000 tokens
Max output128,000 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified October 9, 2026. Official Anthropic pricing.

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Frequently asked questions

What types of tasks is Claude Haiku 5.5 best suited for?+

It excels in applications needing rapid interpretation of visual data combined with logical reasoning, such as analyzing scanned forms, interpreting product images for inventory checks, or validating user-submitted documents against business rules.

How does tool calling work in this model, and why is it useful?+

Tool calling allows the model to invoke predefined functions — like querying a database or triggering a workflow — during its reasoning process, enabling dynamic responses that go beyond static text generation.

How does Claude Haiku 5.5 differ from other models in the Claude 5 series?+

Compared to larger variants, Haiku 5.5 prioritizes speed and efficiency for latency-sensitive tasks while maintaining strong multimodal understanding, making it ideal for real-time applications where response time is critical.

What should users know about its limitations when processing images?+

While it handles common image formats and recognizes objects, text, and layouts reliably, performance may vary with low-resolution inputs, highly abstract art, or images containing ambiguous context without sufficient visual cues.

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