Large Context Window
Accepts prompts up to 200,000 tokens, enabling analysis of long documents, codebases, or multi-turn conversations in a single request.
Anthropic
Claude 3 Haiku
Claude 3 Haiku is a text generation model developed by Anthropic, positioned as the fastest and most affordable model in the Claude 3 family. It features a 200,000-token context window and vision capabilities, making it suitable for tasks that require processing large documents or analyzing images alongside text. The model's training data has a cutoff of August 2023. Haiku is designed for enterprise use cases where throughput and cost efficiency matter, such as customer support, real-time chat, and batch processing of large datasets. It is capable of processing approximately 21,000 tokens — roughly 30 pages — per second for prompts under 32,000 tokens, which makes it well-suited for latency-sensitive applications and workloads that involve running many smaller tasks in parallel.
Mar 13, 2024
200,000 context
4,096 tokens output
Large Context Window
Vision Understanding
High-Speed Inference
Text Generation
Instruction Following
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Anthropic
Model ID
The routed model identifier exposed by upstream providers.
anthropic/claude-3-haiku
Input Context Window
The number of tokens supported by the input context window.
200,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Mar 13, 2024
2 years ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
August 2023
API Providers
The providers that offer this model. This is not an exhaustive list.
Amazon Bedrock
Modalities
Types of data this model can process.
Text
Image
What is Claude 3 Haiku
A fuller summary of positioning, capabilities, and source-specific details for Claude 3 Haiku.
Claude 3 Haiku is a text generation model developed by Anthropic, positioned as the fastest and most affordable model in the Claude 3 family. It features a 200,000-token context window and vision capabilities, making it suitable for tasks that require processing large documents or analyzing images alongside text. The model's training data has a cutoff of August 2023.
Haiku is designed for enterprise use cases where throughput and cost efficiency matter, such as customer support, real-time chat, and batch processing of large datasets. It is capable of processing approximately 21,000 tokens — roughly 30 pages — per second for prompts under 32,000 tokens, which makes it well-suited for latency-sensitive applications and workloads that involve running many smaller tasks in parallel.
Capabilities
What Claude 3 Haiku supports
Vision Understanding
Processes images alongside text input, supporting tasks like document analysis, chart interpretation, and visual question answering.
High-Speed Inference
Processes approximately 21,000 tokens per second for prompts under 32,000 tokens, enabling low-latency responses for real-time applications.
Text Generation
Generates coherent, contextually relevant text for tasks including summarization, classification, drafting, and question answering.
Instruction Following
Responds to structured prompts and multi-step instructions, supporting task automation and enterprise workflow integration.
Pricing for Claude 3 Haiku
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$0.25
Per million tokens
Output tokens
$1.25
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Cache read
$0.03
Cache write
$0.30
maxTemperature
1
maxResponseSize
4,096 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Amazon Bedrock
Provider Endpoints
Endpoint-level provider data currently available for this model.
Amazon Bedrock
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2024
American math olympiad problems
|
|
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
|
|
MATH-500
Undergraduate and competition-level math problems
|
|
|
SciCode
Scientific research coding and numerical methods
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Official Website
Other
→
Introducing Claude 3
Announcements
→
Claude 3 Model Card
Research
→
Anthropic API Documentation
Documentation
→
Claude API Reference
Documentation
→
About Claude
→
Anthropic Prompt Engineering Resources
→
Acceptable Use Policy
→
Anthropic Trust Center
→
OpenRouter Model Page
OpenRouter
→
Related Daily Briefs
Recent daily stories tied to Claude 3 Haiku through direct model mentions or provider-level coverage.
Anthropic and OpenAI move deeper into real workflows.
2026-07-28
Benchmark
AI API
Anthropic and Hugging Face move deeper into real workflows.
2026-07-28
AI Models
AI API
NVIDIA and Hugging Face move deeper into real workflows.
2026-07-24
AI Models
Security
Anthropic and Qwen move deeper into real workflows.
2026-07-22
AI Models
AI API
Community discussion
What people think about Claude 3 Haiku
Claude 3 Haiku discussions are most active in r/singularity, r/ClaudeAI, r/LocalLLaMA. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 432 upvotes and 186 comments.
Hey everyone,
I’m working on a production chatbot using Amazon Bedrock Agent in ap-south-1 (Mumbai), currently using Claude 3 Haiku.
I’m trying to understand model lifecycle + deprecation timelines, but I’m seeing conflicting signals:
- Anthropic docs say Claude 3 Haiku is deprecated Feb 2026 and retires April 20, 2026 (Claude API)
- but in my Bedrock console, Haiku is still available while Claude 3 Sonnet is already legacy
- AWS lifecycle docs show models can stay in Legacy for months before EOL and even have extended access.
- Also, only Claude 3 Haiku and Claude 3 Sonnet are Bedrock-optimized models in my region.
This creates confusion about whether Anthropic’s retirement dates actually apply to Bedrock or not.
My Questions:
1. Will Claude 3 Haiku continue working in Bedrock (ap-south-1) even after April 2026? Till when?
2. Is moving from Haiku → Sonnet even logical, given Sonnet is already marked “legacy”? Will it buy me some time?
Would really appreciate insights from anyone.
Thanks🙏
It’s not letting me use the other models in janitor.ai
FAQ
Common questions about Claude 3 Haiku
What is the context window size for Claude 3 Haiku?
Claude 3 Haiku supports a context window of 200,000 tokens, which is approximately equivalent to several hundred pages of text in a single prompt.
What is the training data cutoff for Claude 3 Haiku?
The model's training data has a cutoff of August 2023, meaning it does not have knowledge of events or information published after that date.
Does Claude 3 Haiku support image inputs?
Yes, Claude 3 Haiku includes vision capabilities, allowing it to process and reason about images submitted alongside text prompts.
What types of tasks is Claude 3 Haiku best suited for?
Haiku is designed for latency-sensitive and cost-sensitive enterprise applications such as customer support, real-time chat, document processing, and running many small tasks in parallel.
Who publishes Claude 3 Haiku?
Claude 3 Haiku is published by Anthropic, an AI safety company. It is part of the Claude 3 model family, which also includes Claude 3 Sonnet and Claude 3 Opus.
More models from Anthropic
Continue browsing adjacent models from the same provider.