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What is Claude Opus 4.5?

Claude Opus 4.5 represents a major leap in Anthropic’s model development, delivering breakthrough performance across coding, research, mathematics, reasoning, and agentic tasks. The model consistently surpasses competitors on SWE-bench Verified, SWE-bench Multilingual, Aider Polyglot, BrowseComp-Plus, and other cutting-edge evaluations, demonstrating mastery across multiple programming languages and multi-turn, real-world workflows. Early users were struck by its ability to handle subtle trade-offs, interpret ambiguous instructions, and produce creative solutions—such as navigating airline booking rules by reasoning through policy loopholes. Alongside capability gains, Opus 4.5 is Anthropic’s safest and most robustly aligned model, showing industry-leading resistance to strong prompt-injection attacks and lower rates of concerning behavior. Developers benefit from major upgrades to the Claude API, including effort controls that balance speed versus capability, improved context efficiency, and longer-running agentic processes with richer memory. The platform also strengthens multi-agent coordination, enabling Opus 4.5 to manage subagents for complex, multi-step research and engineering tasks. Claude Code receives new enhancements like Plan Mode improvements, parallel local and remote sessions, and better GitHub research automation. Consumer apps gain better context handling, expanded Chrome integration, and broader access to Claude for Excel. Enterprise and premium users see increased usage limits and more flexible access to Opus-level performance. Altogether, Claude Opus 4.5 showcases what the next generation of AI can accomplish—faster work, deeper reasoning, safer operation, and richer support for modern development and productivity workflows.

What is AgentBench?

AgentBench is a dedicated evaluation platform designed to assess the performance and capabilities of autonomous AI agents. It offers a comprehensive set of benchmarks that examine various aspects of an agent's behavior, such as problem-solving abilities, decision-making strategies, adaptability, and interaction with simulated environments. Through the evaluation of agents across a range of tasks and scenarios, AgentBench allows developers to identify both the strengths and weaknesses in their agents' performance, including skills in planning, reasoning, and adapting in response to feedback. This framework not only provides critical insights into an agent's capacity to tackle complex situations that mirror real-world challenges but also serves as a valuable resource for both academic research and practical uses. Moreover, AgentBench significantly contributes to the ongoing improvement of autonomous agents, ensuring that they meet high standards of reliability and efficiency before being widely implemented, which ultimately fosters the progress of AI technology. As a result, the use of AgentBench can lead to more robust and capable AI systems that are better equipped to handle intricate tasks in diverse environments.

Media

Media

Integrations Supported

AiAssistWorks
Bash
C++
Cursor
Devin
GitHub
GitHub Copilot CLI
Go
Julia
LaunchLemonade
Model Context Protocol (MCP)
Orchids
PhpStorm
PowerShell
Python
Revise
RustRover
Sup AI
Versuno
Visual Basic

Integrations Supported

AiAssistWorks
Bash
C++
Cursor
Devin
GitHub
GitHub Copilot CLI
Go
Julia
LaunchLemonade
Model Context Protocol (MCP)
Orchids
PhpStorm
PowerShell
Python
Revise
RustRover
Sup AI
Versuno
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Anthropic

Date Founded

2021

Company Location

United States

Company Website

www.anthropic.com/news/claude-opus-4-5

Company Facts

Organization Name

AgentBench

Company Location

China

Company Website

llmbench.ai/agent

Categories and Features

Categories and Features

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