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Anthropic Unveils Enhanced Opus 4.5 Model With Improved Efficiency and Power

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
November 24, 2025
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Anthropic Unveils Enhanced Opus 4.5 Model With Improved Efficiency and Power
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Introduction to Opus 4.5

Anthropic today released Opus 4.5, its flagship frontier model, and it brings improvements in coding performance, as well as some user experience improvements that make it more generally competitive with OpenAI’s latest frontier models.

Improvements in User Experience

Perhaps the most prominent change for most users is that in the consumer app experiences (web, mobile, and desktop), Claude will be less prone to abruptly hard-stopping conversations because they have run too long. The improvement to memory within a single conversation applies not just to Opus 4.5, but to any current Claude models in the apps. Users who experienced abrupt endings (despite having room left in their session and weekly usage budgets) were hitting a hard context window (200,000 tokens).

Context Window and Conversation Management

Whereas some large language model implementations simply start trimming earlier messages from the context when a conversation runs past the maximum in the window, Claude simply ended the conversation rather than allow the user to experience an increasingly incoherent conversation where the model would start forgetting things based on how old they are. Now, Claude will instead go through a behind-the-scenes process of summarizing the key points from the earlier parts of the conversation, attempting to discard what it deems extraneous while keeping what’s important.

Opus 4.5 Performance

Opus 4.5 is the first model to surpass an accuracy score of 80 percent—specifically, 80.9 percent in the SWE-Bench Verified benchmark, narrowly beating OpenAI’s recently released GPT-5.1-Codex-Max (77.9 percent) and Google’s Gemini 3 Pro (76.2 percent). The model performs particularly well in agentic coding and agentic tool use benchmarks, but still lags behind GPT-5.1 in visual reasoning (MMMU).

Developer Access

Developers who call Anthropic’s API can leverage the same principles through context management and context compaction, allowing for more efficient and effective use of the model in various applications.

Conclusion

The release of Opus 4.5 marks a significant improvement in the capabilities of Anthropic’s Claude model, offering better performance in coding tasks and enhanced user experience through improved conversation management. These advancements position Opus 4.5 as a strong competitor in the field of large language models.

FAQs

  • Q: What is Opus 4.5?
    A: Opus 4.5 is the latest version of Anthropic’s flagship frontier model, designed to improve coding performance and user experience.
  • Q: How does Opus 4.5 handle long conversations?
    A: Opus 4.5 improves conversation handling by summarizing key points and discarding less important information, preventing abrupt endings and incoherent responses.
  • Q: How does Opus 4.5 perform in benchmarks?
    A: Opus 4.5 surpasses an accuracy score of 80 percent in the SWE-Bench Verified benchmark, outperforming other models like GPT-5.1-Codex-Max and Gemini 3 Pro in certain areas.
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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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