Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3n E2B Instructed
2025-06-26
10 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B Instructed
Jamba 1.5 Large
Average performance across 3 common benchmarks
Gemma 3n E2B Instructed
Jamba 1.5 Large
Performance comparison across key benchmark categories
Gemma 3n E2B Instructed
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B Instructed
Jamba 1.5 Large
Bedrock
Gemma 3n E2B Instructed
Jamba 1.5 Large