claude-opus-5

Claude-Opus-5 is Anthropic’s latest groundbreaking flagship large model, designed for both general-purpose and agent-based tasks. As the newest generation of the Opus family—a closed-source milestone—Opus 5 redefines the upper limit of cost-effectiveness in high-level knowledge work and software engineering. While maintaining the exact same pricing as Opus 4.8, Opus 5 achieves a generational leap in capabilities, placing it at the top of the industry in evaluations such as Agentic Coding, complex logical reasoning, and real-world economic knowledge work (GDPval-AA). Its performance comes close to that of the top-tier Fable 5 flagship, yet its operational costs are only half as high. It serves as the core powerhouse for enterprise-hosted deep code refactoring, long-term agent-based systems, and complex automated workflows.

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Core Capabilities

Native Default Deep Thinking and Dynamic Effort Adjustment: Opus 5 comes with an adaptive thinking mechanism enabled by default. The official release introduces multiple levels of thinking intensity—low, medium, and high—allowing developers to flexibly adjust the depth of computation based on task difficulty, seamlessly switching between low-cost, agile responses and extreme, high-difficulty reasoning.

Industry-Leading Dominance in Agentic Coding: Specifically optimized to an extremely rigorous standard for software engineering and end-user interaction. In the widely recognized Frontier-Bench v0.1 agent programming benchmark, Opus 5 achieved a record-breaking score of 43.3%, surpassing many top-tier flagship models. It can effortlessly comprehend massive codebases, autonomously perform cross-file vulnerability scans, automate architectural refactoring, and carry out uninterrupted debugging sessions lasting several hours.

Revolutionary Breakthrough in ARC-AGI-3 Abstract Logic: In the highly challenging ARC-AGI-3 abstract reasoning test—requiring novel logical deduction and zero-memory recall—Opus 5 scored a remarkable 30.2% (nearly three times higher than the industry’s leading models at the same level). This demonstrates its exceptional human-like reasoning and autonomous localization abilities when confronted with entirely new logical rules, unknown system topologies, and complex hardware instructions.

1 Million Token Context and Ultra-Long 128K Token Output per Session: Native support for an ultra-large context window of up to 1 million tokens and a maximum single-output limit of 128,000 tokens. The minimum prompt cache threshold has been reduced to just 512 tokens, significantly lowering the cost of frequent interactions with long texts.