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Model details
Claude Sonnet 4.5 (latest)
Claude Sonnet 4.5 is positioned as the most advanced model in the current Claude lineup, with a third-party integration describing it as the smartest option for complex tasks within Anthropic's family of safety-focused language models. The broader Claude lineage, as presented in the available documentation, is built around Constitutional AI principles and is intended to deliver capable reasoning while remaining helpful and controlled in conversation. Native image understanding is a documented capability of Claude the listed price and later generations, and extended that quick-info value handling up to two hundred thousand tokens is presented as a general strength of the family, which makes Sonnet 4.5 a natural fit for workloads that combine visual inputs with long passages of text.
In practical terms, Sonnet 4.5 is aimed at developers and teams that need strong analytical and reasoning behavior on demanding inputs, whether that means reviewing infrastructure plans, working through multi-step coding problems, or synthesizing information across large documents. Its placement at the top of the Claude family suggests it is best matched to complex, high-stakes tasks where depth of reasoning matters more than raw throughput. Because the available evidence only confirms the model's name and its general positioning, it is sensible to treat Sonnet 4.5 as a reasoning-oriented flagship that inherits the Claude family's that quick-info value, vision, and safety design rather than as a fully documented standalone system.
Quick Info
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- Model key
- anthropic/claude-sonnet-4.5
- 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
- 1,000,000 tokens
Transparent token rates
Compare Claude Sonnet 4.5 (latest) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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