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3 months ago

The Claude 3 Model Family: Opus, Sonnet, Haiku

{Anthropic}

The Claude 3 Model Family: Opus, Sonnet, Haiku

Abstract

We introduce Claude 3, a new family of large multimodal models – Claude 3 Opus, our most capable offering, Claude 3 Sonnet, which provides a combination of skills and speed, and Claude 3 Haiku, our fastest and least expensive model. All new models have vision capabilities that enable them to process and analyze image data. The Claude 3 family demonstrates strong performance across benchmark evaluations and sets a new standard on measures of reasoning, math, and coding. Claude 3 Opus achieves state-of-the-art results on evaluations like GPQA [1], MMLU [2], MMMU [3] and many more. Claude 3 Haiku performs as well or better than Claude 2 [4] on most pure-text tasks, while Sonnet and Opus significantly outperform it. Additionally, these models exhibit improved fluency in non-English languages, making them more versatile for a global audience. In this report, we provide an in-depth analysis of our evaluations, focusing on core capabilities, safety, societal impacts, and the catastrophic risk assessments we committed to in our Responsible Scaling Policy.

Benchmarks

BenchmarkMethodologyMetrics
arithmetic-reasoning-on-gsm8kClaude 3 Sonnet (0-shot chain-of-thought)
Accuracy: 92.3
arithmetic-reasoning-on-gsm8kClaude 3 Haiku (0-shot chain-of-thought)
Accuracy: 88.9
arithmetic-reasoning-on-gsm8kClaude 3 Opus (0-shot chain-of-thought)
Accuracy: 95
code-generation-on-mbppClaude 3 Haiku
Accuracy: 80.4
code-generation-on-mbppClaude 3 Sonnet
Accuracy: 79.4
code-generation-on-mbppClaude 3 Opus
Accuracy: 86.4
common-sense-reasoning-on-winograndeClaude 3 Opus (5-shot)
Accuracy: 88.5
common-sense-reasoning-on-winograndeClaude 3 Sonnet (5-shot)
Accuracy: 75.1
common-sense-reasoning-on-winograndeClaude 3 Haiku (5-shot)
Accuracy: 74.2
long-context-understanding-on-mmneedleClaude 3 Opus
1 Image, 2*2 Stitching, Exact Accuracy: 52.25
1 Image, 4*4 Stitching, Exact Accuracy: 12.3
1 Image, 8*8 Stitching, Exact Accuracy: 1.6
10 Images, 1*1 Stitching, Exact Accuracy: 66.93
10 Images, 2*2 Stitching, Exact Accuracy: 4.6
10 Images, 4*4 Stitching, Exact Accuracy: 0.4
10 Images, 8*8 Stitching, Exact Accuracy: 0
multi-task-language-understanding-on-mmluClaude 3 Haiku (5-shot)
Average (%): 75.2
multi-task-language-understanding-on-mmluClaude 3 Sonnet (5-shot)
Average (%): 79
question-answering-on-pubmedqaClaude 3 Opus (5-shot)
Accuracy: 75.8
question-answering-on-pubmedqaClaude 3 Opus (zero-shot)
Accuracy: 74.9

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The Claude 3 Model Family: Opus, Sonnet, Haiku | Papers | HyperAI