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Gemma 3n E2B Instructed vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 3.6% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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.
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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 E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 3n E2B Instructed
Average Score:26.4%(+3.6%)
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Jamba 1.5 Large
Average Score:22.8%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemma 3n E2B Instructed
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E2B Instructed
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput:
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Gemma 3n E2B Instructed
Avg Score:26.4%(+3.6%)
Providers:0
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Jamba 1.5 Large
Avg Score:22.8%
Providers:2