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Anthropic introduced Claude Haiku 4.5, describing it as a small model with near-frontier coding capability, lower cost and faster response times.
The company said Haiku 4.5 could work with Sonnet 4.5 in multi-agent workflows, with a stronger model planning and smaller models executing subtasks.
The release showed that the AI race was no longer only about the largest model. Cost, latency and orchestration were becoming just as important for production systems.
Why It Matters
Smaller capable models can make AI agents cheaper, faster and easier to deploy at scale.
What to Watch
Watch whether enterprises use model routing and multi-agent orchestration to cut inference costs.
Primary Sources
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