With Claude Sonnet 4.5, Anthropic is pushing the boundaries of the AI race, delivering a model that sets new benchmarks in software engineering and beyond.
Anthropic has raised the stakes in the AI race with the release of Claude Sonnet 4.5, a model designed to excel at software engineering and beyond.
The company claims the new system surpasses its predecessors in writing production-ready code, operating computers, performing cybersecurity tasks, and supporting financial research, modeling, and forecasting.
“Claude Sonnet 4.5 resets our expectations — it handles 30+ hours of autonomous coding, freeing our engineers to tackle months of complex architectural work in dramatically less time while maintaining coherence across massive codebases,” said Sean Ward, chief executive officer and co-founder of iGent AI, in Anthropic’s announcement.
The model isn’t limited to software tasks. Anthropic says Claude Sonnet 4.5 outperforms Claude Opus 4.1, its previous flagship released just two months ago, across a wide range of benchmarks. In addition to coding endurance, the model reportedly excels in law, medicine, and STEM fields.
The system has also been fine-tuned to avoid behaviors such as sycophancy, scheming, or promoting delusional thinking, making it Anthropic’s “most aligned” model to date. Pricing remains unchanged from Claude Sonnet 4, at $3 per million input tokens and $15 per million output tokens — attractive for heavy-duty coding use cases, though still relatively costly compared to other generative AI platforms.
Alongside Claude Sonnet 4.5, Anthropic introduced several product upgrades:
Industry analysts note that improvements across frontier AI models are becoming more specialized rather than transformational. Gartner forecasts 149.8% year-over-year growth in generative AI spending in 2025, reaching nearly $14.2 billion in end-user spending.
Anthropic’s continued development of memory, agent coordination, and autonomy builds on its work with MCP (Model Context Protocol), which has gained traction as a communication standard for generative and agentic AI.
The real differentiator, according to Gartner, is Claude Sonnet 4.5’s targeted expertise in coding and finance — industries likely to see significant workforce transformation under generative AI. Its cybersecurity skills, in particular, align with strong market demand for LLMs capable of threat analysis and security testing.
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