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Gemma 3n E2B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 6.7% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+6.7%)
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Jamba 1.5 Large
Average Score:29.1%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemma 3n E2B
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
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
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Gemma 3n E2B
Avg Score:35.8%(+6.7%)
Providers:0
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Jamba 1.5 Large
Avg Score:29.1%
Providers:2