Anthropic’s 3.5 Haiku model is available to Claude users

Anthropic, Claude 3.5 HaikuIt launched on the artificial intelligence chatbot platform Claude. The model is available on web and mobile at Claude.

The 3.5 Haiku, introduced by Anthropic in November, is capable of competing with Anthropic’s flagship model, the 3 Opus. In fact, we can say that 3.5 Haiku surpasses 3 Opus in some criteria. According to the information shared by Anthropic; 3.5 Haiku is particularly useful for coding recommendations, data extraction and tagging, or content moderation.

3.5 Haiku can also print longer text pieces than the previous model of the series, 3 Haiku. However, we should point out that the model has an updated knowledge base. Thus 3.5 Haiku can refer to more recent events.

On the other hand, it is worth noting that the model in question does not support image analysis. In this sense, when we compare 3.5 Haiku with Anthropic’s other existing models, 3 Haiku and 3.5 Sonnet, it is possible to say that its capabilities are limited.

Still, the Claude 3.5 Haiku emerges as the fastest and most affordable model in Anthropic’s lineup. We can say that the model excels in real-time tasks such as processing large data sets, analyzing financial documents, and producing outputs from long-context information. Claude 3.5 Haiku has a context window of 200k tokens, compared to the 128k token context window of OpenAI’s GPT-4 and GPT-4o models. This allows the model to easily process comprehensive input. However, it’s worth noting that Haiku does not currently support web browsing or rendering, which is offered by OpenAI’s competitors such as GPT-4o and GPT-4.

Haiku also Claude Artifacts It also integrates with . First introduced in June 2024, the interactive sidebar Artifacts provides a dedicated workspace to manipulate and enhance AI-generated content in real-time.

On the API, Claude 3.5 Haiku offers an economical solution compared to larger models such as Claude 3 Opus, starting at 0.80 cents per million input tokens and $4 per million output tokens. Developers feature fast caching that saves up to 90 percent and reduces costs by 50 percent Message Batches APIYou can further reduce costs by using .