Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 27.6% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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.
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.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Large
Bedrock
Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Large
Gemma 3n E4B Instructed LiteRT Preview
Jamba 1.5 Large