Anthropic has released its new generation of fast large language model, Claude 3.5 Haiku, which has significantly improved performance when it is similar to the previous generation of Claude 3 Haiku and surpassed the Claude 3 Opus in multiple smart benchmarks. Claude 3.5 Haiku was originally released in a plain text model and will subsequently support image input and provide access through the official Anthropic API, Amazon Bedrock and Google Cloud's Vertex AI platforms.
November 5, 2024 - Anthropic officially released the new generation of fast model Claude 3.5 Haiku. The company said that at a similar speed to the Claude 3 Haiku, the Claude 3.5 Haiku has improved in all skills and surpassed the previous generation's largest model, the Claude 3 Opus in many smart benchmarks.
Claude 3.5 Haiku was originally launched as a plain text model, and the image input function will be launched soon. The model is currently accessible through Anthropic's One-sided API, Amazon Bedrock and Google Cloud's Vertex AI platforms.
Price and cost savings:
The Claude 3.5 Haiku is priced at $1 per million input token and $5 per million output token. Users can save up to 90% of their cost through prompt cache and 50% of their cost through the Message Batches API. For more pricing details, please refer to Anthropic's pricing page.
Main use cases:
With faster speeds, improved instruction compliance and more precise tool usage, Claude 3.5 Haiku is suitable for a variety of scenarios, including:
Code Completion: Claude 3.5 Haiku can provide fast and accurate code suggestions and completion, thereby accelerating the development process and improving the productivity of the software team.
Interactive Chatbot: Enhanced conversational capabilities and fast response times make Claude 3.5 Haiku ideal for supporting responsive chatbots that need to handle a large number of user interactions, especially for customer service, e-commerce and education platforms.
Data Extraction and Tag: Claude 3.5 Haiku can efficiently process and classify information and can be used for fast data extraction and automatic tagging tasks, which is especially useful for organizations that process large amounts of unstructured data in the financial, medical and research fields.
Real-time content review: Improved reasoning and content understanding enables Claude 3.5 Haiku to provide reliable real-time content review, which is important for social platforms, online communities and media organizations that require large-scale maintenance of secure, appropriate content.
Benchmark:
Anthropic says Claude 3.5 Haiku demonstrates powerful performance and speed in a variety of coding, tool usage and inference tasks. However, specific benchmark data are not provided in the announcement.
Trust and Security:
Anthropic emphasizes that security is at the heart of every step of its AI development. During the development of Claude 3.5 Haiku, they conducted extensive security assessments covering multiple languages and policy areas and enhanced Claude's ability to handle sensitive content with caution. Anthropic's internal testing shows that the Claude 3.5 Haiku has made substantial progress in functionality while maintaining its strict safety standards. However, the announcement did not provide specific details about these safety assessments and tests.
In summary, Claude 3.5 Haiku has made significant progress in speed and performance, and has provided strong support for a variety of application scenarios, but it still needs to pay attention to its specific benchmark data and security assessment details. In the future, we look forward to the launch of its image input capabilities and more public information about its performance and security.