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Claude Opus 5.5
Anthropic launched Claude Opus 5.5, a highly efficient model that cuts operating costs by 40% while beating previous frontier benchmarks.
What: Claude Opus 5.5 features a 40% reduction in operating costs compared to Opus 5, with significantly faster throughput and improved performance on agentic coding and knowledge tasks.
Why it matters: The focus on lower costs and better communication style signals a shift toward making large models viable for persistent daily agentic workflows.
Takeaway: Verified organizations can apply for the Life Sciences Verification Program to use Opus 5.5 for biology research, with cybersecurity access expanding soon.
Deep dive
- Model efficiency: Opus 5.5 achieves frontier coding performance at approximately 20-40% of the cost of previous models.
- Safety: Includes a pre-execution action classifier, open-source sandbox for auditability, and stronger resistance to prompt injection.
- Pricing: Input tokens at $4/1M, Output at $20/1M, and Cache reads at $0.20/1M.
- Capabilities: Stronger performance on complex, multi-file codebase migrations and automated behavioral audits compared to Opus 5.
- Availability: Now live on AWS, Google Cloud, and Azure.
Decoder
- Agentic coding: The ability of an LLM to autonomously use terminal, IDE, and web tools to complete software engineering tasks.
- Preserved thinking: A safeguard preventing API users from modifying the model's internal reasoning chain context to prevent extraction attacks.
- Distillation: The process of using a large model's outputs to train smaller, specialized models, creating potential security and IP risks.
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