Anthropic Launches Claude Opus 5: Near Frontier AI at Half Cost
Anthropic's latest AI model delivers near-frontier performance at half the price, excelling at coding and scientific research.

Anthropic officially launched Claude Opus 5 on July 24, 2026, its latest AI model that it claims approaches the intelligence of its frontier model (Claude Fable 5) but at half the cost. Announced on the company's blog, Opus 5 becomes the default model for Claude Max and the most powerful model on Claude Pro, designed for everyday use with greater efficiency than its predecessors.
Impressive Performance and Cost Efficiency
Claude Opus 5 delivers significant performance improvements at the same cost as Opus 4.8. Anthropic introduced customizable effort settings that let users optimize for intelligence or save tokens for faster, cheaper results. On software engineering tasks, Opus 5 outperformed all other models on Frontier-Bench v0.1, even doubling the score of Opus 4.8 at a lower cost per task.
On CursorBench 3.2, at maximum effort it trailed the top Fable 5 score by just 0.5%, but at half the cost. Across all effort levels (high, xhigh, max), Opus 5 delivered higher performance for the same cost compared to other models.
Superior Coding and Reasoning Abilities
The model also excelled in knowledge and problem-solving tasks. On ARC-AGI 3, Opus 5 scored three times higher than the next best model. On Zapier AutomationBench, which measures business task completion, its pass rate was about 1.5 times that of the best other model at equivalent cost. Even at the lowest effort setting, Opus 5 passed more tasks than other models.
On the OSWorld 2.0 benchmark, Opus 5 outperformed every model at every cost level, surpassing Fable 5's best result at just one-third the cost. Similar gains were seen on related evaluations like GDPval-AA v2 and HLE AutomationBench.
Advances in Scientific Research
For scientific research, Opus 5 showed improvements across all of Anthropic's life sciences evaluations, covering structural biology, organic chemistry, and bioinformatics. Most notably, on organic chemistry tasks such as inferring molecular structure from spectroscopy data, it gained 10.2 percentage points, and on protein-related tasks like predicting how sequence variations affect protein function, it rose 7.7 percentage points.
How Claude Opus 5 Works More Proactively and Meticulously
Claude Opus 5 is far stronger at verifying its own work and iterating until successful. Anthropic and early testers discovered many examples of the model's agency and thoroughness:
- On a Frontier-Bench task, Opus 5 was asked to write code to recreate an image of a machine component as a 3D model without direct access to the image. The model wrote its own computer vision pipeline to extract geometry from raw pixels and successfully reconstructed the component repeatedly. No other model could solve it even in five attempts.
- Given a real bug in a popular open-source package manager, Opus 5 found the root cause and fixed an edge case missed by the community patch, while competing models only addressed surface-level symptoms.
- An engineer at a trading firm used Opus 5 to build a market data feed for a new exchange in a single session, complete with a self-written test harness since no live data was available for validation.
Early access customers reported similar experiences. Cursor: "Claude Opus 5 delivers near Fable 5 intelligence at Opus speed and cost." Zapier: "Claude Opus 5 topped Zapier's AutomationBench leaderboard without spending more tokens than prior Claude models ... Previous models didn't pass; Opus 5 hit 100%." Box: "... outperforms Opus 4.8 by 8% and delivers notable performance gains in the data analysis (11% improvement) and due diligence (17% improvement) workflows ..."
Access and Availability
Claude Opus 5 is available starting today as the default model on Claude Max and the most powerful model on Claude Pro. With its efficiency and friendlier pricing, the model is expected to expand the user base among professionals and developers seeking high intelligence without paying frontier model rates.
Implications for Users and Developers in Indonesia
For developers and companies in Indonesia, Claude Opus 5 opens opportunities to access top-tier AI capabilities at more affordable costs. Gains in coding, data analysis, and workflow automation can help local startups and enterprises build products faster and more efficiently. Meanwhile, advances in scientific research like bioinformatics could support domestic academic and industrial collaborations, provided the nation's AI infrastructure and regulations continue to adapt.