Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 10.1% higher average benchmark score. Jamba 1.5 Large offers 448.0K more tokens in context window than Gemma 3n E4B Instructed. Jamba 1.5 Large is $50.00 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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.
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.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Jamba 1.5 Large
Context window and performance specifications
Average performance across 23 common benchmarks
Gemma 3n E4B Instructed
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Jamba 1.5 Large
Gemma 3n E4B Instructed
Jamba 1.5 Large
Gemma 3n E4B Instructed
Jamba 1.5 Large
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