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

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 2025, it represents Google's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 Mini
AI21 Labs
2024-08-22

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
9 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Mini
Average performance across 4 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Mini
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Mini
Bedrock

Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Mini