Claude Opus 4
Multimodal
Zero-eval
#2MMMU (validation)
#2ARC-AGI v2
#3MMMLU
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by Anthropic
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About
Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). It supports a 328K token context window for handling large documents. The model is available through 4 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)$15.00 -$15.00
Output (per 1M)$75.00 -$75.00
Providers4
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Timeline
AnnouncedMay 22, 2025
ReleasedMay 22, 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
64.6%
Best Score
88.8%
High Performers (80%+)
2Performance Metrics
Max Context Window
328.0KAvg Throughput
76.0 tok/sAvg Latency
0ms+
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All Benchmark Results for Claude Opus 4
Complete list of benchmark scores with detailed information
| MMMLU | text | 0.89 | 88.8% | Self-reported | |
| TAU-bench Retail | text | 0.81 | 81.4% | Self-reported | |
| GPQA | text | 0.80 | 79.6% | Self-reported | |
| MMMU (validation) | multimodal | 0.77 | 76.5% | Self-reported | |
| AIME 2025 | text | 0.76 | 75.5% | Self-reported | |
| SWE-Bench Verified | text | 0.72 | 72.5% | Self-reported | |
| TAU-bench Airline | text | 0.60 | 59.6% | Self-reported | |
| Terminal-Bench | text | 0.39 | 39.2% | Self-reported | |
| ARC-AGI v2 | multimodal | 0.09 | 8.6% | Unverified |