Close Menu
geekfence.comgeekfence.com
    What's Hot

    Emerald Fennell’s Wuthering Heights Review

    February 14, 2026

    Infrastructure, Not Compute, is the Real AI Bottleneck

    February 14, 2026

    ALS stole this musician’s voice. AI let him sing again.

    February 14, 2026
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    Facebook Instagram
    geekfence.comgeekfence.com
    • Home
    • UK Tech News
    • AI
    • Big Data
    • Cyber Security
      • Cloud Computing
      • iOS Development
    • IoT
    • Mobile
    • Software
      • Software Development
      • Software Engineering
    • Technology
      • Green Technology
      • Nanotechnology
    • Telecom
    geekfence.comgeekfence.com
    Home»Software Development»Anthropic releases Claude Opus 4.5 with improvements to complex reasoning
    Software Development

    Anthropic releases Claude Opus 4.5 with improvements to complex reasoning

    AdminBy AdminNovember 26, 2025No Comments2 Mins Read0 Views
    Facebook Twitter Pinterest LinkedIn Telegram Tumblr Email
    Anthropic releases Claude Opus 4.5 with improvements to complex reasoning
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Anthropic has released the latest version of its largest Claude model, Opus. Claude Opus 4.5 is better at handling complex reasoning than previous Claude models and makes improvements across agentic tool use, computer use, novel problem solving, and more.

    The company says early testers of the new model claim that it handles ambiguity better and reasons over tradeoffs without needing human intervention. “They told us that, when pointed at a complex, multi-system bug, Opus 4.5 figures out the fix. They said that tasks that were near-impossible for Sonnet 4.5 just a few weeks ago are now within reach. Overall, our testers told us that Opus 4.5 just ‘gets it,’” Anthropic wrote in a post.

    This release also coincides with a new effort parameter being introduced in the Claude API, allowing developers to decide how much effort Claude should spend on a problem. According to Anthropic, Opus 4.5 uses significantly fewer tokens than its predecessors to solve problems, even at its highest effort level. For example, at a medium effort level, Opus 4.5 matches Sonnet 4.5’s score on SWE-bench Verified while using 76% fewer output tokens, while at the highest effort level it uses 48% fewer tokens while exceeding Sonnet 4.5’s performance by 4.3%.

    In terms of safety, Anthropic claims that Opus 4.5 Thinking is less susceptible to prompt injection attacks than models like Sonnet 4.5 Thinking, GPT-5.1 Thinking, or Gemini 3 Pro Thinking.

    Anthropic also announced updates to Claude Code that coincide with the new model’s release. First, Plan Mode can create more precise plans and execute them more thoroughly, with Claude asking clarifying questions upfront and building them into the plan before executing it. Second, Claude Code is now available in Anthropic’s desktop app, which allows multiple local and remote sessions to be run side-by-side.

    Additionally, the Claude app will now automatically summarize earlier parts of a long conversation, and the Claude for Excel beta is expanding to Max, Team, and Enterprise users.

    Opus 4.5 is available now across all of Anthropic’s apps and API and costs $5 per million input tokens and $25 per million output tokens.

    “Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done,” the company wrote.



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Extract a Number from a String with JavaScript

    February 14, 2026

    How to Build a Procurement Management System: Plan & System Essentials

    February 11, 2026

    People don’t belong in the loop — They belong at the center

    February 10, 2026

    How to Sell UX Research with Two Simple Questions – A List Apart

    February 9, 2026

    Fixing Cumulative Layout Shift Problems on DavidWalshBlog

    February 8, 2026

    Context Engineering for Coding Agents

    February 7, 2026
    Top Posts

    Hard-braking events as indicators of road segment crash risk

    January 14, 202617 Views

    Understanding U-Net Architecture in Deep Learning

    November 25, 202512 Views

    How to integrate a graph database into your RAG pipeline

    February 8, 20268 Views
    Don't Miss

    Emerald Fennell’s Wuthering Heights Review

    February 14, 2026

    Summary created by Smart Answers AIIn summary:Tech Advisor highlights six critical errors in Emerald Fennell’s…

    Infrastructure, Not Compute, is the Real AI Bottleneck

    February 14, 2026

    ALS stole this musician’s voice. AI let him sing again.

    February 14, 2026

    What is Prompt Chaining?

    February 14, 2026
    Stay In Touch
    • Facebook
    • Instagram
    About Us

    At GeekFence, we are a team of tech-enthusiasts, industry watchers and content creators who believe that technology isn’t just about gadgets—it’s about how innovation transforms our lives, work and society. We’ve come together to build a place where readers, thinkers and industry insiders can converge to explore what’s next in tech.

    Our Picks

    Emerald Fennell’s Wuthering Heights Review

    February 14, 2026

    Infrastructure, Not Compute, is the Real AI Bottleneck

    February 14, 2026

    Subscribe to Updates

    Please enable JavaScript in your browser to complete this form.
    Loading
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    © 2026 Geekfence.All Rigt Reserved.

    Type above and press Enter to search. Press Esc to cancel.