High-volume structured work
Classification, extraction, routing, chat, and other latency-sensitive workloads.
Independent tool overview
Claude Haiku 5.5 at a glance
Claude Haiku 5.5 is Anthropic's fastest current small model for latency-sensitive, high-volume tasks such as classification, extraction, routing, and subagents.
Visit the official Claude Haiku 5.5 site ↗
- Model ID
- claude-haiku-5-5
- Context window
- 1M tokens
- Released
- October 7, 2026
Overview
What Claude Haiku 5.5 is
Haiku 5.5 has a 1M-token context window, up to 128K output, adaptive thinking, and effort controls from low through max. Anthropic makes the same fixed model ID available across the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, and Claude Platform on AWS.
The model uses a newer tokenizer that can count the same text as roughly 30% more tokens than Haiku 4.5, and thinking is on by default. Migrations need explicit testing of token budgets, sampling parameters, thinking blocks, refusals, and tool behavior.
Use cases
Who Claude Haiku 5.5 is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Subagent tasks
Parallel or delegated work where speed and cost matter more than maximum frontier capability.
Capabilities
Core Claude Haiku 5.5 features
Adaptive thinking
Thinking is enabled by default and controlled with the effort parameter.
Large context
Accepts up to a 1M-token context and supports large output limits.
Cross-cloud availability
Uses documented model IDs across Anthropic and major cloud platforms.
Process
How the Claude Haiku 5.5 workflow works
Step 1
Select the platform ID
Use the exact Haiku 5.5 identifier required by Claude API or the chosen cloud.
Step 2
Set effort and limits
Start at medium effort, choose max output carefully, and remove unsupported sampling parameters.
Step 3
Evaluate migration behavior
Recount tokens and test thinking blocks, tools, refusals, latency, and quality on representative tasks.
Cost
Claude Haiku 5.5 pricing and free plan
Anthropic lists Claude Haiku 5.5 pricing from $0.10 per million input tokens and $0.50 per million output tokens. Exact rates can depend on platform, context, processing, caching, and other options.
Standard API
From $0.10 input / $0.50 output per MTok
Base published pricing for the current model.
- Input and output billed separately
- Check platform and caching rates
Cloud platforms
Provider rates apply
Available through AWS, Google Cloud, Microsoft Foundry, and Claude Platform on AWS.
- Model IDs differ by platform
- Commercial terms can differ
Pricing checked . Check current pricing at the source ↗
Assessment
Claude Haiku 5.5 strengths and limitations
Where it stands out
- Very low published base rates for a model with adaptive reasoning and 1M context.
- Designed for fast high-volume work and subagent use.
What to consider
- The newer tokenizer can increase counted tokens relative to Haiku 4.5.
- Thinking, sampling, refusal, and tool behavior require migration changes and fresh evals.
Compare
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Claude Haiku 5.5 FAQs
What is Claude Haiku 5.5?
Claude Haiku 5.5 is Anthropic's fastest current small model for latency-sensitive, high-volume tasks such as classification, extraction, routing, and subagents.
Who is Claude Haiku 5.5 best for?
Classification, extraction, routing, chat, and other latency-sensitive workloads. Parallel or delegated work where speed and cost matter more than maximum frontier capability.
How much does Claude Haiku 5.5 cost?
Anthropic lists Claude Haiku 5.5 pricing from $0.10 per million input tokens and $0.50 per million output tokens. Exact rates can depend on platform, context, processing, caching, and other options.
Bottom line
Our Claude Haiku 5.5 verdict
Claude Haiku 5.5 is a strong candidate for high-volume tasks that benefit from reasoning but cannot justify a larger model on every call. Its low rates are attractive, but tokenization and migration behavior must be measured in the actual application.
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