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Claude Opus 5: Improved Capabilities for Long Workflows

Released on July 24, 2026, Claude Opus 5 is Anthropic’s high-end Claude model, positioned for long-running, multi-step work such as agentic coding, deep reasoning, and enterprise tasks. It has a 1M-token context window, thinking on by default, and a “fast mode” option for higher-speed output; It improves on long-horizon tasks, tool use, code review, and document/spreadsheet work.

For a technical user, Claude Opus 5 is mainly interesting as a model that can stay coherent across very long tasks, handle tool-heavy workflows, and do stronger code-centric work than earlier Opus versions. Anthropic also emphasizes stronger alignment and safer behavior, while intentionally not training it for offensive cybersecurity use.

Key Features of Claude Opus 5

End-to-End Complex Task Execution

Claude Opus 5 is adept at continuously planning, executing, checking, and iterating on its own. It is built to take raw, ambiguous requirements and push them all the way to a finished result, making it the ideal partner for deep research, ongoing projects, and multi-step business operations.

Production-Grade Software Engineering

Claude Opus 5 is heavily optimized for the reality of modern development. It thrives in multi-file environments, smoothly handling massive refactoring jobs, rigorous PR reviews, and root-cause analysis for complex bugs. By setting new state-of-the-art standards on coding evaluations like Frontier-Bench, it pushes through hard problems to deliver complete, runnable implementations.

Unwavering Agentic Stability

When building autonomous agents, losing context mid-task is a dealbreaker. With Claude Opus 5, the longer the task and the more steps involved, the more its value shines. It is engineered to power dependable, long-running agents that can work for hours or even overnight—finding paths around obstacles and recovering from errors without losing sight of the overarching goal.

Smarter Processing of Professional Documents & Data

Anthropic has optimized Claude Opus 5 to excel at the precise, structured work that drives modern businesses. The model demonstrates significant gains in complex enterprise workflows, including data analysis and legal due diligence. Whether conducting financial research, structuring a complex spreadsheet, or generating a commercial slide deck, Claude Opus 5 can take raw data and turn it into a professional-grade deliverable in a single shot.

Built-In Quality Control

Claude Opus 5 is also highly proactive about its own reliability. It actively checks its own work, validates its logic against edge cases, and auto-corrects mistakes before handing the work back. It doesn't just build—it reviews its own output, catching issues before you have to.

Claude Opus 5 vs Claude Fable 5

Claude Opus 5 costs exactly half as much as Fable 5 and surprisingly beats it on almost every day-to-day coding and knowledge benchmark.

The Pricing Gap

This is the most critical difference. Opus 5 is exactly half the price of Fable 5 across both input and output:

• Claude Opus 5: $5 per 1M input tokens | $25 per 1M output tokens.
• Claude Fable 5: $10 per 1M input tokens | $50 per 1M output tokens.

Both models feature the same 1M-token context window and the same 90% prompt-caching discount for cached reads.

Performance and Benchmarks

Despite costing half as much, Claude Opus 5 actually outperforms Fable 5 on several key industry benchmarks, particularly in autonomous computer use and novel problem-solving.

Where Opus 5 Wins: Opus 5 leads significantly in broad agentic work. On OSWorld 2.0 (a computer use benchmark), Opus 5 beats Fable 5's best result at just over a third of the compute cost. It also scores three times higher than the next-best model on ARC-AGI 3 (novel problem-solving) and sets new standards on Frontier-Bench for software engineering.

Where Fable 5 Wins: Fable 5 maintains a narrow but real advantage in specialized, highly complex environments. It still leads on the DeepSWE benchmark (software engineering) and the Legal Agent Benchmark.

Model Personality and Efficiency

Claude Fable 5 is highly token-efficient. It tends to find the most minimal, intuitive, and clean approach to a problem, which is highly valued for massive, real-world coding projects.

Claude Opus 5 is more liberal in its interpretation of prompts. While it generates incredibly detailed outputs (for example, generating full interiors for buildings in coding visualization benchmarks), it can be more "token hungry" and is occasionally prone to over-engineering solutions rather than taking the simplest path.

How Does Claude Opus 5 Compare to Other Models