Claude 3.5 Haiku is Anthropic's lightweight model designed for fast responses and high-volume tasks, featuring text and image input with a 200K token context window.
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $0.800 | $4.00 |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Claude 3.5 Haiku is well-suited for high-volume applications requiring fast processing speeds and cost efficiency. Its lightweight design makes it ideal for tasks like content moderation, customer support chatbots, document summarization, and automated text classification. The 200K context window enables processing of lengthy documents, research papers, or extended conversation histories. Its multimodal capabilities allow for applications involving image analysis combined with text processing, such as document OCR, visual content moderation, or image captioning at scale. Organizations choosing Haiku typically prioritize response speed and operational efficiency over the maximum reasoning capabilities found in larger models.
Claude 3.5 Haiku pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers offering this model.
Claude 3.5 Haiku excels at high-volume tasks requiring fast responses, such as content moderation, customer support automation, document processing, and text classification. Its 200K context window and multimodal capabilities make it suitable for applications processing lengthy documents with images, while maintaining cost efficiency.
Claude 3.5 Haiku offers a larger 200,000 token context window than many lightweight competitors, plus multimodal image processing capabilities. It includes tool calling functionality and maintains Anthropic's safety-focused training approach, though it trades maximum speed for these additional capabilities compared to text-only lightweight alternatives.