Anthropic Unveils Claude Opus 5: A New Benchmark in Coding and Knowledge Work at Half the Price
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24.07.2026 21:15
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2 min read
Anthropic has officially announced the release of its new language model, Claude Opus 5. According to the developers, the model delivers top-tier performance, surpassing existing solutions in coding and complex knowledge work tasks.
While matching the efficiency of Fable 5, the new Anthropic model costs half as much, making it one of the most cost-effective options on the market.
A New Level of Autonomy and Code Handling
In coding tests, Claude Opus 5 achieved results that other models cannot match with similar configurations. Anthropic representatives shared real-world use cases for the neural network:
1. Creating 3D Models from Pixels (Computer Vision)
In an experiment, the model was given a blueprint of a machine part and tasked with writing code to reconstruct it as a 3D model in FreeCAD. Opus 5 had no direct access to view the blueprint. To solve the task, the model independently developed a computer vision pipeline, extracted geometry directly from the raw pixels, and fully reconstructed the part. Opus 5 successfully repeated this process several times, while none of the competing models could complete the task even after five attempts.
2. Finding and Fixing Deep Bugs
Opus 5 was brought in to analyze the code of a popular messenger. The model not only found the bug and identified its root cause but also fixed a specific edge case that community developers had missed when creating the official patch. In the same test, a competing model only addressed surface symptoms and incorrectly reported a complete fix.
3. Developing Financial Infrastructure and Automated Testing
An engineer at a trading company used Opus 5 to write a market data feed for a new exchange. The task was completed in a single session. Previously, no model could solve this task even with detailed instructions and plans from the engineer. Without access to the real data feed to verify the code, Opus 5 created its own test environment and ensured the data was processed correctly.
Conclusion
Claude Opus 5 sets a new bar for AI assistants in development. The model demonstrates the ability not just to write code from instructions but also to create auxiliary tools (vision pipelines, test environments) to verify its own solutions.
