
Claude Sonnet 4.5
Multimodal
Zero-eval
#1TAU-bench Retail
#1MMMUval
#1SWE-bench Verified (Agentic Coding)
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by Anthropic
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About
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$3.00 -$3.00
Output (per 1M)$15.00 -$15.00
Providers2
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Timeline
AnnouncedSep 29, 2025
ReleasedSep 29, 2025
Knowledge CutoffJan 31, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
9 benchmarks
Average Score
75.8%
Best Score
89.1%
High Performers (80%+)
4Performance Metrics
Max Context Window
264.0KAvg Throughput
42.0 tok/sAvg Latency
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All Benchmark Results for Claude Sonnet 4.5
Complete list of benchmark scores with detailed information
MMMLU | text | 0.89 | 89.1% | Self-reported | |
AIME 2025 | text | 0.87 | 87.0% | Self-reported | |
TAU-bench Retail | text | 0.86 | 86.2% | Self-reported | |
GPQA | text | 0.83 | 83.4% | Self-reported | |
MMMUval | multimodal | 0.78 | 77.8% | Self-reported | |
SWE-bench Verified (Agentic Coding) | text | 0.77 | 77.2% | Self-reported | |
TAU-bench Airline | text | 0.70 | 70.0% | Self-reported | |
OSWorld | multimodal | 0.61 | 61.4% | Self-reported | |
Terminal-Bench | text | 0.50 | 50.0% | Self-reported |