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sonnet-5:latest

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Claude Sonnet 5

Claude Sonnet 5 is Anthropic’s flagship mid-tier model, delivering an optimal balance of high-tier agentic reasoning, rapid execution, and cost efficiency. Designed to bridge the gap between lightweight efficiency and frontier-level intelligence, Sonnet 5 serves as the core workhorse for complex agentic workflows, large-scale codebase maintenance, and automated browser/computer interactions.


Model Overview

Sonnet 5 is built for high-throughput enterprise deployments where sustained focus, complex tool usage, and low error rates are required at scale. It incorporates native adaptive reasoning and an expanded context window to handle massive enterprise codebases and multi-step tasks without stalling.

  • Developer: Anthropic
  • Model Tier: Sonnet (Balanced / High-Performance Workhorse)
  • Architecture: Autoregressive Transformer with Native Vision and Adaptive Thinking Capabilities
  • Primary Target Use Cases: Agentic coding, multi-file software engineering, automated web browser and OS computer use, workflow automation, and enterprise document synthesis.

Core Capabilities & Performance Profile

Adaptive Thinking & Reasoning

Sonnet 5 features Adaptive Thinking enabled by default. The model dynamically allocates internal chain-of-thought processing based on prompt complexity, delivering deep problem-solving rigor on complex logic without sacrificing speed on simple requests.

Advanced Agentic Execution & Computer Use

  • Autonomous Task Completion: Sustains focus across multi-step agent plans, autonomously checking its own output and self-correcting during execution loops.
  • Native Computer & Browser Tools: Features built-in support for browser automation and desktop OS control (computer_toolset_20260801), enabling end-to-end interactions with native software interfaces.
  • Brownfield Software Engineering: Excels at navigating messy legacy codebases, resolving race conditions, tracing subtle system bugs, and handling multi-repository refactoring.

Expanded Context & Tokenizer Efficiency

  • 1 Million Token Context Window: Native support for up to 1,000,000 tokens of input context by default, accommodating massive repositories, full technical documentation sets, and deep conversational logs.
  • Updated Tokenizer: Utilizes an updated tokenizer architecture optimized for dense technical context and multi-language parsing efficiency.

Technical Specifications

Parameter Specification
Model ID claude-sonnet-5
Context Window 1,000,000 tokens
Max Output Tokens 128,000 tokens
Input Modalities Text, Code, Images, Structured Documents (PDFs)
Output Modalities Text, Code, Structured JSON
Reasoning Engine Adaptive Thinking (Default)
Native Tools Browser Use, Computer Use (computer_toolset_20260801), Function Calling

Alignment & Safety Infrastructure

  • Constitutional AI Guardrails: Trained with Anthropic’s safety framework, demonstrating low rates of hallucination, reduced sycophancy, and high resistance to prompt injection attacks.
  • Real-time Cyber Safeguards: Integrates active safeguard filters to detect and prevent high-risk dual-use cybersecurity exploitation in autonomous agent modes.
  • High-Precision Refusals: Refined refusal boundaries minimize false positives, maintaining execution flow on benign edge cases in enterprise environments. *