Claude 3 Haiku
Multimodal
Zero-eval
by Anthropic
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About
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). 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)$0.25 -$0.25
Output (per 1M)$1.25 -$1.25
Providers3
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Timeline
AnnouncedMar 13, 2024
ReleasedMar 13, 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
10 benchmarks
Average Score
71.5%
Best Score
89.2%
High Performers (80%+)
3Performance Metrics
Max Context Window
400.0KAvg Throughput
82.0 tok/sAvg Latency
0ms+
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All Benchmark Results for Claude 3 Haiku
Complete list of benchmark scores with detailed information
| ARC-C | text | 0.89 | 89.2% | Self-reported | |
| GSM8k | text | 0.89 | 88.9% | Self-reported | |
| HellaSwag | text | 0.86 | 85.9% | Self-reported | |
| DROP | text | 0.78 | 78.4% | Self-reported | |
| HumanEval | text | 0.76 | 75.9% | Self-reported | |
| MMLU | text | 0.75 | 75.2% | Self-reported | |
| MGSM | text | 0.75 | 75.1% | Self-reported | |
| BIG-Bench Hard | text | 0.74 | 73.7% | Self-reported | |
| MATH | text | 0.39 | 38.9% | Self-reported | |
| GPQA | text | 0.33 | 33.3% | Self-reported |