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Model details

Claude Sonnet 4.5

Claude Sonnet 4.5 represents Anthropic's most intelligent model in the Sonnet family, engineered specifically for autonomous, long-running task execution across complex workflows. The model is built to maintain clarity and coherence while orchestrating multiple tools and coordinating several agents simultaneously for extended periods—spanning hours or even days. Its design philosophy centers on enabling AI systems to handle sophisticated multi-step operations that require sustained contextual awareness, with enhanced domain expertise in coding, finance, research, and cybersecurity. The model demonstrates particular strength in reasoning and mathematical problem-solving, positioning it as the strongest option for building complex agents capable of independent decision-making.

The release of Claude Sonnet 4.5 arrived alongside a substantial ecosystem expansion, including major upgrades to Claude Code with checkpoint and rollback capabilities, a native VS Code extension, and new context editing features that extend agent memory and processing capacity. These improvements enable practical deployment across cybersecurity operations like autonomous vulnerability remediation, financial analysis workflows from routine tasks to predictive modeling and regulatory monitoring, and research pipelines that deliver actionable outputs. The model excels at computer use and tool orchestration in real-world environments, suggesting its architecture is optimized for practical task completion rather than isolated benchmark performance alone.

DevPass (LLM Gateway)claude-sonnet-4-5-20250929claude-sonnet

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Provider
DevPass (LLM Gateway)
Model key
claude-sonnet-4-5-20250929
Release date
Sep 29, 2025
Last updated
Sep 29, 2025
Knowledge cutoff
2025-07-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$3.00
Output token cost
$15.00

Limits

Output tokens
64,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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