Claude 3.5 Haiku
Previous generation fast model — great balance of speed and intelligence at low cost
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Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
Similar models from Anthropic
Compared at your current token settings
About Claude 3.5 Haiku
Claude 3.5 Haiku is a mid-range large language model from anthropic, priced at $0.8/1M input tokens and $4/1M output tokens. It is 69% cheaper than the market average and best suited for fast low-cost tasks. The 200k context window handles long documents, extended conversations, and large code files comfortably.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, Claude 3.5 Haiku is a solid choice when balancing quality and cost at scale.
Claude 3.5 Haiku supports prompt caching at $0.08/1M — a 90% discount on repeated input tokens. For applications with a fixed system prompt or repeated document context (RAG, chatbots, agents), enabling caching is the single highest-leverage cost optimization available.