Claude 3 Sonnet
Multimodal
Zero-eval
by Anthropic
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About
Claude 3 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 73.8% across 11 benchmarks. It excels particularly in ARC-C (93.2%), GSM8k (92.3%), HellaSwag (89.0%). 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
AnnouncedFeb 29, 2024
ReleasedFeb 29, 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
11 benchmarks
Average Score
73.8%
Best Score
93.2%
High Performers (80%+)
5Performance Metrics
Max Context Window
400.0KAvg Throughput
87.3 tok/sAvg Latency
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All Benchmark Results for Claude 3 Sonnet
Complete list of benchmark scores with detailed information
| ARC-C | text | 0.93 | 93.2% | Self-reported | |
| GSM8k | text | 0.92 | 92.3% | Self-reported | |
| HellaSwag | text | 0.89 | 89.0% | Self-reported | |
| MGSM | text | 0.83 | 83.5% | Self-reported | |
| BIG-Bench Hard | text | 0.83 | 82.9% | Self-reported | |
| MMLU | text | 0.79 | 79.0% | Self-reported | |
| DROP | text | 0.79 | 78.9% | Self-reported | |
| HumanEval | text | 0.73 | 73.0% | Self-reported | |
| MMLU-Pro | text | 0.57 | 56.8% | Self-reported | |
| MATH | text | 0.43 | 43.1% | Self-reported |
Showing 1 to 10 of 11 benchmarks