Create

Sign in to ReadmeX

Sign in to join communities, post, vote and chat.

New here?

Claude Haiku 4.5

AI overview

Sign in and the AI will write an overview from our coverage.

Headlines · 3

  1. Anthropic launches Claude Haiku 5.5, its cheapest small model yet

    Anthropic released Claude Haiku 5.5, which it calls its cheapest, fastest and most capable small model, saying it costs on average around 75% less to run than Haiku 4.5 and targets high-volume, cost-sensitive work such as summaries, compactions, database queries and classification. It is the first Haiku-class model with an adjustable effort setting and is pitched as a subagent alongside Opus 5.5 and Sonnet 5.5 for coding; Anthropic also halved Sonnet 5.5 cache-read pricing and added a monthly API credit for Claude Max and Team subscribers. The company says this is the third 5.5 upgrade in about a month, after Opus and Sonnet.

    Anthropic (X) · 🔥 81
  2. OpenAI and Anthropic face a holiday of agents, pricing and scrutiny

    A roundup from Huxiu describes a crowded holiday period for OpenAI and Anthropic, including the reported delay of GPT-6.1 Astra, the launch of Dots and GPT-6.1 Sol, financing activity, product changes, and regulatory hearings. It argues that competition is shifting from model capability alone toward agent execution, cost efficiency, safety controls, and enterprise access, while several incident and product claims remain attributed to media reports or company statements.

    虎嗅 AI · 🔥 7
  3. Building a context-aware AI assistant with OpenClaw on AWS AgentCore

    An AWS Machine Learning Blog tutorial shows how to run the open-source agentic system OpenClaw on Amazon Bedrock AgentCore runtime and give it continuity with AgentCore memory, using a gardening assistant called Sprout as the example; the whole system ships in a single CloudFormation template that deploys with one command. On each message the agent retrieves long-term memory records from a per-user namespace, ranks explicit preferences ahead of inferred facts, and injects them into the system prompt, degrading gracefully to a memory-free answer if retrieval times out within a 3-second budget or errors. Tasks are routed to different models — Claude Haiku 4.5 for text and Claude Sonnet 4.5 for image diagnosis — with Telegram as the front door. The author estimates roughly $1–2 per month for light personal use versus about $35 per month for an always-on EC2 instance.

    AWS Machine Learning Blog · 🔥 5

Experience and discussion from the community

Share my Claude Haiku 4.5 experienceAsk about Claude Haiku 4.5

Nobody has shared their experience with Claude Haiku 4.5 yet.