AI model by Anthropic
Claude Haiku 4.5 for business
Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
- Reviewed on September 24, 2026
- Anthropic
Capability tiersRelative, not benchmarks
Key facts about Claude Haiku 4.5
- Model ID at review
- claude-haiku-4-5
- Provider
- Anthropic
- Main category
- General purpose
- Open weights
- No, available as a hosted service
- Last reviewed
- September 24, 2026
Fit
Where it fits and where it does not
Good at
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Fast replies in live chat and voice assistants.
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Sorting, tagging and routing large volumes of messages.
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Extracting fields from short documents and forms.
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Tool calling and structured outputs at low cost.
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Sub-steps inside larger agent workflows.
Not the right choice for
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Complex, multi-step reasoning where errors are costly.
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Very long documents beyond its 200K token window.
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Audio or video input.
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Self-hosting.
Use cases
Business use cases we would use it for
Email and ticket triage
First-line support
Form extraction
Our notes
When we would choose it
Anthropic calls Haiku 4.5 its fastest model with near-frontier intelligence. It is the cheapest current Claude model, which makes it the natural choice for high-volume steps: triage, tagging, short replies and extraction. In many systems it handles most of the traffic while a larger model handles the exceptions.
One thing to watch: Anthropic lists its retirement as not sooner than October 15, 2026, and we could not find a named successor at review time. If you build on Haiku now, keep the model ID in configuration and plan to test a replacement. A thin integration layer makes that a small change. See LLM integration.
For comparison, Gemini Flash-Lite and GPT-6 Luna sit in the same low-cost, high-volume space. We would test two of them on your own messages before choosing.
Speed is the other reason to pick Haiku. In live chat and voice assistants, a reply that arrives in a moment feels natural, while a long pause feels broken. For those uses we would measure response time on real traffic, including tool calls, and keep prompts short. If a question needs deeper thought, the assistant can say it is checking and pass the task to a larger model in the background.
Before you commit
Things to check before you commit
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Retirement date
Anthropic lists retirement for Haiku 4.5 as not sooner than October 15, 2026. Check for a successor before you build.
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Quality on hard cases
Test the difficult 10 percent of your examples, not just the easy ones.
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Context limit
The window is 200K tokens, smaller than Sonnet and Opus.
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Data terms
Confirm business data terms and region for your account.
Alternatives
Models to compare it with
Claude Sonnet 5
Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
Gemini 3.5 Flash-Lite
Google's lowest-cost current Gemini model for high-throughput work such as sub-agent tasks and document parsing.
GPT-6 Luna
OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.
Keep exploring
Solutions, services and guides
Related services
View all related services- AI chatbots Website and messaging chatbots that answer common questions well and hand everything else to a person.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- Document automation Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
- Third-party integrations Google Workspace, Microsoft 365, accounting, shipping and marketing tools connected to your own software.
Solutions
View all solutions- Email triage Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- Scheduling and drafting automation Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Price monitoring Collect competitor prices automatically, match them to your products and alert you when something changes.
Industries
View all industries- Vacation rentals Booking websites, owner and guest portals, turnover scheduling and guest messaging for rental operators.
- Property management Tenant portals, maintenance tracking, owner statements and inbox automation for property managers.
- Home services Booking, dispatch, quotes, invoicing and reviews for plumbers, electricians, cleaners and other home service businesses.
- Ecommerce Online stores, product data cleanup, support assistants, price monitoring and order automation for online retailers.
- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
Case studies
View all case studiesGuides and articles
View all guides and articles- What can AI do for a small business? Practical AI uses for small businesses, from inboxes and documents to customer support, with costs and first steps.
- AI chatbot vs AI agent What separates a chatbot that answers from an agent that acts, and when you need each.
- How to measure the ROI of AI automation Measure the return on AI automation with a baseline, the right metrics and honest accounting of costs.
- AI automation vs traditional automation How rule-based automation and AI automation differ, where each fits and how to combine them.
MCP servers
View all mcp servers- Discord A community MCP server that lets AI read and send Discord messages, react, send direct messages and manage channels through a bot.
- Communication Servers for chat, email, SMS and phone, so AI can read messages, draft replies and send notifications.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Google Sheets Google's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- Mailchimp Transactional Mailchimp's official MCP server covers Mailchimp Transactional (Mandrill): account status, templates, API help and send diagnostics.
- Microsoft Teams Microsoft's Teams MCP server, part of its Work IQ preview, lets AI list and read chats and channels and post messages and replies.
Glossary terms
View all glossary terms- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- Structured output Structured output is when an AI model returns its answer in a fixed format, such as JSON matching a schema, so software can use it reliably.
- Function calling Function calling is a model feature that lets an AI model request a specific function, with structured inputs, for the application to run.
- Natural language processing Natural language processing is the field of AI that deals with understanding and generating human language, in text or speech.
- System prompt A system prompt is the standing set of instructions an application gives an AI model, defining its role, rules and style for every conversation.
- Zero-shot classification Zero-shot classification is sorting text or images into categories an AI model was not specifically trained on, using only the category names or descriptions.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
For routine questions answered from your own content, often yes. Test it on real tickets and hand complex cases to people or a larger model.
Anthropic lists retirement as not sooner than October 15, 2026. Check the models overview for the current status and any successor.
Yes. It accepts text and images and returns text.