claude-3-5-haiku-20241022

Name: claude-3-5-haiku-20241022
Brand: Anthropic

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A lightweight conversational model for fast interactions and coding assistance

Claude 3.5 Haiku is a model introduced by Anthropic for fast interactions, and claude-3-5-haiku-20241022 is its date-fixed version endpoint. While maintaining Haiku's lightweight positioning, it enhances coding, instruction following, and tool use, making it suitable for customer service responses, business information extraction, and dedicated subtasks. Applications can integrate it using the public request format in this page's API section.

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AnthropicModel brand

ConversationModel type

Fast interactionTask focus

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Point the Base URL to api.acedata.cloud, configure your platform API key and the model ID below, and use your compatible SDK or client.

API host: api.acedata.cloud
model: claude-3-5-haiku-20241022

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import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ACEDATACLOUD_API_KEY"],
    base_url="https://api.acedata.cloud/v1",
)
response = client.chat.completions.create(
    model="claude-3-5-haiku-20241022",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Choose an available protocol for this model. OpenAI SDK uses a Base URL ending in /v1; Anthropic SDK uses the root URL. See each guide for protocol-specific parameters, tools and response formats.

Specifications and API features

Clarify capacity, input/output, and invocation methods before selecting a model.

Version identifier: Claude 3.5 Haiku date-fixed version: claude-3-5-haiku-20241022
Input method: Text messages; suitable for classification, information extraction, coding assistance, and tool parameter organization
Primary outputs: Text responses, code, and tool call requests
Public coding evaluation: Officially reported SWE-bench Verified: 40.6%
Conversation endpoints: Chat Completions or Messages API
Interaction method: Standard text or streamed text; message history is organized by the application according to the selected protocol

Public evaluations help explain Haiku 3.5's task positioning; Chat Completions and Messages each define request and response formats, while multi-turn messages are organized by the application.

Core Capabilities

Learn what claude-3-5-haiku-20241022 can bring to your work.

Fast interaction with the ability to follow detailed requirements

The value of Haiku 3.5 is not only in responding quickly, but also in following task instructions more effectively. You can provide classification rules, wording requirements, and output examples to have it complete customer service replies, summaries, and information organization. Clearly specifying boundary conditions is more likely to produce reusable results than simply asking it to “respond professionally.”

Programming strengths in a lightweight role

Programming is a capability particularly emphasized officially, with a reported SWE-bench Verified score of 40.6%. It is suitable for explaining causes based on error messages, proposing changes around existing functions, and drafting tests. Evaluation results help clarify capability positioning; generated code should still be run and validated in the project environment.

Well suited for dedicated tool subtasks

Improved tool-use capabilities are suitable for sub-agents with clearly defined tasks, such as identifying query intent, organizing function parameters, and then generating explanations based on returned data. The model handles judgment and expression, while business programs handle execution and permission control; this division of labor is easier to test and maintain than having it independently handle open-ended long workflows.

Use Cases

Start with specific tasks to find where the model can be effective.

Customer service replies and ticket routing

Include user and assistant messages relevant to the current task in the messages for Messages or Chat Completions, handling the specific format according to the selected public API. Retain the latest code, interim conclusions, and important constraints; when necessary, summarize longer history again to avoid relying on outdated information.

Code fixes and test drafts

Submit the relevant functions, error stack traces, and expected behavior, asking the model to explain the issue first, then provide narrowly scoped changes and testing suggestions. Deliverables can include a patch draft and a validation checklist. Focusing on local issues better fits its lightweight positioning and also makes it easier for developers to check whether additional dependencies or behavioral changes have been introduced.

Turning business records into personalized text

Organize purchase history, inventory records, and recommendation rules into text to generate recommendation rationales, restocking reminders, or customer service summaries. You can also attach relevant records and specific questions to obtain written explanations that customers can easily understand. Provide clear records and rules so the model expresses itself based on existing information rather than guessing prices or inventory status on its own.

How to choose this model

Choose based on task complexity, input materials, and expected results.

How to choose when upgrading from Claude 3 Haiku

If existing Haiku workloads need better instruction following, coding assistance, or tool parameter organization, 3.5 Haiku is worth testing first. Official descriptions state that its speed is similar to Claude 3 Haiku while improving capabilities across the board. Compare quality using your own classification, extraction, and code samples, and do not interpret this similar speed as a fixed response time.

How to choose between it and Claude 3.5 Sonnet

For clearly bounded tasks, fast interactions, or dedicated subtasks, choose Haiku 3.5; for complex software engineering and longer multistep tasks, further evaluate the same-generation Sonnet. The computer-use public beta in the official announcement applies to Sonnet, so do not expect Haiku to automatically click interfaces just because both belong to the 3.5 series.

Start with a specific task

Based on the characteristics of claude-3-5-haiku-20241022, first validate small tasks whose results can be checked.

High-frequency request routing and tool parameters

You can ask directly: Identify order inquiries, technical issues, or other tasks from user requests, and extract explicitly provided fields. Leave the order number blank if it is not provided, and do not perform actions on the user's behalf.

Prepare inputs that support decisions

Use business classification rules and boundary samples; have the program validate fields and decide whether to execute subsequent tools.

Then integrate it into your workflow

Use the full model ID claude-3-5-haiku-20241022, first confirm the public request format and available parameters on the API page, then connect your application. Retain result parsing, exception handling, and relevant evidence, and evaluate whether it is suitable for continued use with the same set of real samples.

Usage boundaries

Before formal use, understand output quality and capability scope.

A date-fixed version is used to specify a particular version and does not mean you will continuously receive all capabilities of later Haiku models. Do not directly apply the capacity, extended thinking, or new tool capabilities of other versions to it; when migrating, retest critical tasks, prompts, and output-processing logic.
Input materials should provide business rules, text records, or minimal code snippets. For visual tasks such as screenshots and scanned documents, choose a model explicitly labeled as supporting image input; do not directly apply the capabilities of other Haiku versions to this version.
A tool-use request does not mean an action has already been executed, and code generation does not mean a program runs automatically. When integrating query, send, or write operations, you need an execution environment and appropriate authorization, and must check tool results; the model's interpretation of results cannot replace the success status in business systems.

Frequently Asked Questions

Answers to common questions when using claude-3-5-haiku-20241022.

What is 20241022, and is it the same as other Haiku models?

It is the date-pinned version identifier for this endpoint, corresponding to the announcement date of Claude 3.5 Haiku. It is not Claude 3 Haiku, nor is it the later Haiku 4.5. When you need to explicitly specify this version, use the full model ID to avoid mixing expectations for features from other versions.

How should screenshot or scanned-document tasks be handled?

This page introduces Claude 3.5 Haiku for text tasks. For vision tasks, use a model explicitly labeled as supporting image input; you can also extract and verify the document text first, then pass it to this model for classification, summarization, or information organization.

Which of the two conversation endpoints should I choose?

Applications that already use the OpenAI messages structure can use Chat Completions; if you need Claude's native message structure or the tool_use/tool_result flow, see Messages API support for this model. Handle the request, response, and parameter formats of the two separately, and retain the full model ID.

Is it suitable for fixing code, and does that mean it can directly modify a project?

It is suitable for explaining errors, generating change drafts, and suggesting tests, but sending a code issue will not automatically modify your project. Actually writing files, running tests, or committing changes requires tools and permissions provided by the application. It is best to have it output a small-scope patch first, then verify the fix with tests.

Can it operate a computer like the contemporary Sonnet model?

Do not treat the computer-operation capability in the contemporary Sonnet announcement as a feature of Haiku 3.5. Haiku's strengths in tool use are better suited to working with defined functions and business tasks; actions such as moving the mouse and clicking windows require dedicated capabilities and an execution environment, and are not the default behavior of ordinary conversation requests.

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claude-3-5-haiku-20241022

A lightweight conversational model for fast interactions and coding assistance

Keep your SDK. Connect in minutes.

Specifications and API features

Core Capabilities

Fast interaction with the ability to follow detailed requirements