Claude 3 Opus
Multimodal
Zero-eval
#1HellaSwag
#2ARC-C
by Anthropic
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About
Claude 3 Opus is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 81.6% across 11 benchmarks. It excels particularly in ARC-C (96.4%), HellaSwag (95.4%), GSM8k (95.0%). 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)$15.00 -$15.00
Output (per 1M)$75.00 -$75.00
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
81.6%
Best Score
96.4%
High Performers (80%+)
8Performance Metrics
Max Context Window
400.0KAvg Throughput
87.3 tok/sAvg Latency
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All Benchmark Results for Claude 3 Opus
Complete list of benchmark scores with detailed information
| ARC-C | text | 0.96 | 96.4% | Self-reported | |
| HellaSwag | text | 0.95 | 95.4% | Self-reported | |
| GSM8k | text | 0.95 | 95.0% | Self-reported | |
| MGSM | text | 0.91 | 90.7% | Self-reported | |
| MMLU | text | 0.87 | 86.8% | Self-reported | |
| BIG-Bench Hard | text | 0.87 | 86.8% | Self-reported | |
| HumanEval | text | 0.85 | 84.9% | Self-reported | |
| DROP | text | 0.83 | 83.1% | Self-reported | |
| MMLU-Pro | text | 0.69 | 68.5% | Self-reported | |
| MATH | text | 0.60 | 60.1% | Self-reported |
Showing 1 to 10 of 11 benchmarks