We use it for our customer chat bot. It's fast, cheap and intelligent enough to answer customer question based on custom knowledge provided either directly in the system prompt or via rag.
Anthropic in fact describes the intended uses for each of them here: [Introducing the next generation of Claude \\ Anthropic](https://www.anthropic.com/news/claude-3-family)
Opus: Higher intelligence than any other model available.
* 5x more expensive than Sonnet.
* Task automation: plan and execute complex actions across APIs and databases, interactive coding
* R&D: research review, brainstorming and hypothesis generation, drug discovery
* Strategy: advanced analysis of charts & graphs, financials and market trends, forecasting
Sonnet: More affordable than other models with similar intelligence; better for scale.
* 12x more expensive than Haiku.
* Data processing: RAG or search & retrieval over vast amounts of knowledge
* Sales: product recommendations, forecasting, targeted marketing
* Time-saving tasks: code generation, quality control, parse text from images
Haiku: Smarter, faster, and more affordable than other models in its intelligence category.
* Customer interactions: quick and accurate support in live interactions, translations
* Content moderation: catch risky behavior or customer requests
* Cost-saving tasks: optimized logistics, inventory management, extract knowledge from unstructured data
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I can also see that on OpenRouter, Haiku is super popular and I think it's pretty powerful for chat or roleplay experiences. Haiku still ought to have powerful conversational capacity and understanding context, just not the breadth of knowledge of the larger models (this is often what goes out first as you downscale, along with more deeply analytic reasoning). However, such limitations may not always matter.
We use it for our customer chat bot. It's fast, cheap and intelligent enough to answer customer question based on custom knowledge provided either directly in the system prompt or via rag.
What platform did you build the bot on? Just curious
Flowise
Internet search
Anthropic in fact describes the intended uses for each of them here: [Introducing the next generation of Claude \\ Anthropic](https://www.anthropic.com/news/claude-3-family) Opus: Higher intelligence than any other model available. * 5x more expensive than Sonnet. * Task automation: plan and execute complex actions across APIs and databases, interactive coding * R&D: research review, brainstorming and hypothesis generation, drug discovery * Strategy: advanced analysis of charts & graphs, financials and market trends, forecasting Sonnet: More affordable than other models with similar intelligence; better for scale. * 12x more expensive than Haiku. * Data processing: RAG or search & retrieval over vast amounts of knowledge * Sales: product recommendations, forecasting, targeted marketing * Time-saving tasks: code generation, quality control, parse text from images Haiku: Smarter, faster, and more affordable than other models in its intelligence category. * Customer interactions: quick and accurate support in live interactions, translations * Content moderation: catch risky behavior or customer requests * Cost-saving tasks: optimized logistics, inventory management, extract knowledge from unstructured data --- I can also see that on OpenRouter, Haiku is super popular and I think it's pretty powerful for chat or roleplay experiences. Haiku still ought to have powerful conversational capacity and understanding context, just not the breadth of knowledge of the larger models (this is often what goes out first as you downscale, along with more deeply analytic reasoning). However, such limitations may not always matter.
use opus to setup tasks for haiku to do. sonnet for generation of more complex tasks. opus as critic.
I use it for processing data for RAG, summarization, and other not very complex tasks that consume a lot of tokens and require speed.