Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Claude 3 Haiku
Anthropic
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%). The model shows particular specialization in reasoning tasks with an average performance of 87.5%. 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.

Phi-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Claude 3 Haiku
Anthropic
2024-03-13

Phi-3.5-vision-instruct
Microsoft
2024-08-23
5 months newer
Performance Metrics
Context window and performance specifications

Claude 3 Haiku

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

Claude 3 Haiku

Phi-3.5-vision-instruct
Provider Availability & Performance
Available providers and their performance metrics

Claude 3 Haiku
Bedrock
Anthropic

Phi-3.5-vision-instruct

Claude 3 Haiku

Phi-3.5-vision-instruct