Claude 3.5 Sonnet
Multimodal
Zero-eval
#1AI2D
#1BIG-Bench Hard
#1ChartQA
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by Anthropic
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About
Claude 3.5 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 73.3% across 19 benchmarks. It excels particularly in GSM8k (96.4%), DocVQA (95.2%), AI2D (94.7%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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
Providers3
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Timeline
AnnouncedOct 22, 2024
ReleasedOct 22, 2024
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Specifications
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
19 benchmarks
Average Score
73.3%
Best Score
96.4%
High Performers (80%+)
9Performance Metrics
Max Context Window
400.0KAvg Throughput
81.0 tok/sAvg Latency
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All Benchmark Results for Claude 3.5 Sonnet
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.96 | 96.4% | Self-reported | |
| DocVQA | multimodal | 0.95 | 95.2% | Self-reported | |
| AI2D | multimodal | 0.95 | 94.7% | Self-reported | |
| HumanEval | text | 0.94 | 93.7% | Self-reported | |
| BIG-Bench Hard | text | 0.93 | 93.1% | Self-reported | |
| MGSM | text | 0.92 | 91.6% | Self-reported | |
| ChartQA | multimodal | 0.91 | 90.8% | Self-reported | |
| MMLU | text | 0.90 | 90.4% | Self-reported | |
| DROP | text | 0.87 | 87.1% | Self-reported | |
| MATH | text | 0.78 | 78.3% | Self-reported |
Showing 1 to 10 of 19 benchmarks