anthropic

Anthropic: Claude Sonnet 4.5

Claude Sonnet 4.5 is a closed-weights model from Anthropic that accepts text, image, and file inputs and returns up to 64,000 tokens per response. Its one-million-token context window is among the larger options available, making it practical for tasks involving long documents or extended conversations. The model supports tool use and reasoning, which broadens its utility for multi-step or agentic workflows. At $3.00 per million input tokens and $15.00 per million output tokens, it sits in the mid-to-upper tier of API pricing, so cost-sensitive teams should factor output volume carefully. Its blended benchmark score of 70.0 is drawn from only two benchmarks, meaning independent performance evidence is limited and comparisons to more thoroughly evaluated models should be made with caution. It is a reasonable shortlist candidate for developers who need large context, multimodal inputs, and tool support, and who are willing to pay a moderate premium for those combined capabilities.

Quality Score
100/100
price + capability + benchmarks
Input Price
$3.00
per 1M tokens
Output Price
$15.00
per 1M tokens
Context Window
1,000,000
tokens
Model ID
anthropic/claude-sonnet-4.5
Vendor
anthropic
Tokenizer
Claude
Input Modalities
text, image, file
Output Modalities
text
Max Output
64,000 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
no
Moderated
yes

Category rankings

Where Anthropic: Claude Sonnet 4.5 places across the 11 categories it ranks in. How we rank →

#CategoryScore
#12 Transcript CleanupWriting · of 25 ranked 142
#16 Long-Context Q&AAgents · of 25 ranked 150
#18 Long-Document SummarizationWriting · of 25 ranked 154
#20 History TutoringEducation · of 25 ranked 139
#21 Legal ResearchProfessional · of 25 ranked 158
#21 Scientific ResearchProfessional · of 25 ranked 158
#21 Fiction CollaboratorPersonal · of 25 ranked 158
#21 Literature ReviewResearch · of 25 ranked 158
#22 Code DocumentationCode · of 25 ranked 139
#23 Code RefactoringCode · of 25 ranked 154
#23 RAG PipelinesAgents · of 25 ranked 154

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