Claude Sonnet 4.5 Excels in SWE-Bench Verified for Software Bug Fixing, Supports 30+ Hour Coding Tasks
Anthropic Unveils Claude Sonnet 4.5 — Its Most Advanced Coding AI Yet
Anthropic has released Claude Sonnet 4.5, its most capable, coding-focused AI model to date.
The update delivers major strides in:
- Agentic task handling
- Long-horizon performance
- Real-world computer-use proficiency
Enhanced training techniques and safety protocols have cut down on sycophancy, deceptive responses, power-seeking behavior, and delusional outputs.
Claude Sonnet 4.5 is now available via the:
Pricing remains unchanged from Sonnet 4.
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Performance Advancements
Claude Sonnet 4.5 builds on Anthropic’s iterative approach to increasing capability while keeping alignment and safety controls intact.
Key Improvements
- Sustained reasoning and execution
- Maintains complex, multi-step logic and code execution for over 30 continuous hours
- SWE-bench Verified (details)
- Score: 77.2% — up from 72.7% in Sonnet 4
- OSWorld benchmark (details)
- Score: 61.4%, up from 42.2% just 4 months prior
- Stronger results in real-world computer-use tasks
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Ecosystem Context
With its enhanced endurance and complex-task handling, Claude Sonnet 4.5 opens doors for:
- Automated coding agents
- Virtual desktop assistants
- Advanced productivity automation
Platforms such as AiToEarn官网 amplify these capabilities by providing an open-source, global AI content monetization framework.
AiToEarn integrates:
- AI generation tools
- Cross-platform publishing workflows
- Performance analytics
- Model rankings (AI模型排名)
It enables creators to publish — and monetize — across channels like Douyin, Bilibili, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter).
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Source: Anthropic Claude Sonnet 4.5
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Safety and Alignment Upgrades
Anthropic calls Sonnet 4.5 its “most aligned frontier model”, balancing capability gains with stricter safeguards.
ASL-3 Protection System
- Improved automated classifiers detect and block harmful instructions, including CBRN risks
- False positives reduced:
- 10× lower than initial rollout
- 50% lower than Claude Opus 4
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Agentic Safety Testing
In evaluating autonomous, tool-enabled performance:
- 150 malicious coding requests tested — only 2 failures
- Achieved 98.7% safety score vs. 89.3% for Sonnet 4
- Stronger refusal and resistance against prompt-injection attacks
Recommendation: Anthropic advises upgrading to Claude Sonnet 4.5 as a drop-in replacement for improved performance at no extra cost.
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Early Adopter Feedback
> Scott Wu, Co-Founder & CEO, Cognition:
> "For Devin, Claude Sonnet 4.5 increased planning performance by 18% and end-to-end evaluation scores by 12%... It enables Devin to run longer, tackle more difficult tasks, and deliver production-ready code."
> Michele Catasta, President, replit:
> "Sonnet 4.5’s edit capabilities are exceptional… from a 9% error rate on Sonnet 4 to 0% internally. Higher tool success at lower cost — this is agentic coding at its best."
> Simon Willison, Independent Open Source Developer (blog):
> "It feels like a better coding model than GPT-5-Codex, which had been my go-to since its launch."
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Competitive Landscape
Anthropic’s trajectory toward safer, autonomous coding models parallels other industry moves — e.g., OpenAI’s GPT-5-Codex for large-scale code refactoring and extended code review.
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Monetization Potential with AiToEarn
For developers and creators, the combination of Claude Sonnet 4.5’s advanced capabilities and AiToEarn’s publishing tools offers:
- Seamless AI content generation
- Multi-platform publishing
- Analytics-driven optimization
- Monetization across major social/video channels: Douyin, Kwai, WeChat, Bilibili, Rednote (Xiaohongshu), Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)
AiToEarn’s integrated model ranking and analytics ensure that safe, high-quality AI outputs reach the largest possible audience efficiently.
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Conclusion:
Claude Sonnet 4.5 marks a significant leap in agentic coding performance, safety, and usability — positioning it as a key enabler for sustainable AI-driven productivity in both development and creative ecosystems.
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Would you like me to also create a side-by-side benchmark comparison table between Sonnet 4 and Sonnet 4.5 for quick reference? That would make it easy for readers to scan the performance gains.
