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Claude Sonnet 5 - Anthropic's most powerful intelligent agent model

Claude Sonnet 5 is the most capable agent model in the Sonnet series launched by Anthropic, supporting the creation of plans, the invocation of tools such as browsers and terminals, and autonomous operation.

What is Claude Sonnet 5?

Claude Sonnet 5 is the most capable agent model in Anthropic's Sonnet series, supporting plan creation, invoking tools such as browsers and terminals, and running autonomously. Its performance in agent coding, multidisciplinary reasoning, and computer usage benchmarks is close to Opus 4.8, but at a significantly lower price. Claude Sonnet 5 has become the default model for both Free and Pro users, outperforming Sonnet 4.6 in both security and the incidence of malicious behavior.

Main features of Claude Sonnet 5

  • Intelligent agent codingSupports complex software engineering tasks; SWE-bench Pro achieves a pass rate of 63.2% and can independently complete code writing and debugging.
  • Terminal operationIt can call terminal tools to execute commands, with a Terminal-Bench 2.1 pass rate of 80.4%, making it capable of server maintenance and script execution.
  • Browser searchIt possesses independent network search and information integration capabilities, and its BrowseComp performance is significantly improved compared to Sonnet 4.6.
  • Computer useIt can perform complex tasks through a graphical interface, and its OSWorld-Verified pass rate is 81.2%, which is close to the level of Opus 4.8.
  • Multidisciplinary reasoningIn Humanity’s Last Exam, 43.2% of respondents answered without tools and 57.4% answered with tools, achieving a GDPval-AA v2 score of 1618 for knowledge work.
  • Level 5 Effort ControlSupports five levels of adjustment: low / med / high / xhigh / max, balancing task cost and output quality as needed.

Technical principles of Claude Sonnet 5

  • Adaptive Inference ArchitectureIt employs an adaptive inference mechanism, allowing the model to autonomously decide when and how to delve deeper into inference based on task complexity, without requiring a fixed token budget.
  • Level 5 Effort ControlIt supports five levels of effort parameters: low, med, high, xhigh, and max, enabling a dynamic balance between cost and performance through fine-grained control.
  • Enhanced tool invocation frameworkIt natively integrates the ability to call tools such as browsers and terminals, and supports multi-step planning and autonomous execution closed loop.
  • Updated TokenizerThe new word segmenter generates more tokens (approximately 1.0-1.35 times) from the same input text, improving semantic granularity and processing accuracy.
  • High-resolution visual understandingSupports high-resolution image input, enhancing the ability to recognize and understand documents, charts, and interfaces.
  • Safety alignment optimizationImproved alignment training reduces the risk of illusion rate, pandering, and cue injection attacks, resulting in an overall misbehavior score superior to Sonnet 4.6.

How to use Claude Sonnet 5

  • Use directly on the webVisit the Claude website; Free and Pro users have already switched to Sonnet 5 by default, requiring no additional configuration.
  • API callsDevelopers specify the model name through the Claude Platform. claude-sonnet-5 It can be integrated into applications.
  • Claude Code IntegrationIn the Claude Code programming assistant tool, directly select Sonnet 5 for coding collaboration and code review.
  • Enterprise console enabledMax, Team, and Enterprise plan users can enable and assign team permissions with a single click in the management backend.
  • Adjusting the effort parameterWhen calling the API, set the effort parameter to low / med / high / xhigh / max to control the inference depth and cost.

Claude Sonnet 5's core advantages

  • Excellent value for moneyIt offers agent capabilities close to those of Opus 4.8 at Sonnet-level prices, lowering the barrier to entry for high-end AI applications.
  • Cost curve optimizationEfficiency is significantly improved with moderate effort, and with high effort, it can match the performance of Opus 4.8 in some tasks.
  • Autonomous Execution EnhancementIt can complete complex, multi-step tasks, check its own output, and continuously track it until completion without human intervention.
  • Security EnhancementThe overall incidence of maladaptive behaviors was lower than that of Sonnet 4.6, and there were improvements in hallucination rate, compliance, and cueing resistance.
  • caching mechanism friendlySupports 5-minute and 1-hour cache writes, which can further reduce token consumption costs in repeated call scenarios.

Claude Sonnet 5's project address

  • Project official websitehttps://www.anthropic.com/news/claude-sonnet-5

Comparison of Claude Sonnet 5 with similar competing products

Comparison Dimensions Claude Sonnet 5 Gemini 2.5 Pro
Publisher Anthropic Google DeepMind
Product Positioning Mid-range agent native model Flagship Multimodal Inference Model
Intelligent agent coding SWE-bench Pro 63.2% Approximately 63-65% (industry estimate)
Terminal operation Terminal-Bench 80.4%, deep native support Support is limited; it is mainly implemented through tool calls.
Browser search BrowseComp has been significantly improved, with enhanced autonomous search planning capabilities. It supports Google search integration, but its self-planning capabilities are generally limited.
Computer use OSWorld-Verified 81.2% It supports screen operation, but its accuracy and stability are relatively low.
API Input Price $2 / 1 million Tokens (promotional period) Approximately $1.25 per million tokens (context cache)
API Output Price $10 / 1 million Tokens (Promotional Period) Approximately $10 per million tokens
Context window 1M Tokens 1M Tokens (Standard) / 2M Tokens (Experimental)

Application scenarios of Claude Sonnet 5

  • Automated Software EngineeringIt enables end-to-end code writing, debugging, testing, and PR submission, freeing engineers to focus on decision-making and review.
  • Enterprise Process AutomationAutomatically updates CRM data and sends email notifications, completing multi-step business flow processing across systems.
  • Intelligent Customer Service and In-Depth ResearchIt independently browses web pages to collect information and integrates multi-source data to generate in-depth research reports.
  • Legacy code maintenanceIt aims to pinpoint the root causes of problems in complex code and provide persistent solutions rather than simply patching up surface symptoms.
  • Legal and Financial AnalysisIt handles multi-document reasoning tasks, enabling legal research, contract review, and data insight extraction.