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.

Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Claude 3 Haiku
Anthropic
2024-03-13

Gemma 3n E2B Instructed
2025-06-26
1 year newer
Performance Metrics
Context window and performance specifications

Claude 3 Haiku

Gemma 3n E2B Instructed
Average performance across 4 common benchmarks

Claude 3 Haiku

Gemma 3n E2B Instructed
Performance comparison across key benchmark categories

Claude 3 Haiku

Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Claude 3 Haiku
Bedrock
Anthropic

Gemma 3n E2B Instructed

Claude 3 Haiku

Gemma 3n E2B Instructed