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Gemma 3n E2B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 41.3% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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Gemma 3N E2B was created as a specialized efficient variant, designed for deployment in edge and mobile environments with strict resource constraints. Built with optimizations for edge computing, it brings Gemma capabilities to devices and applications where traditional models would be impractical.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3n E2B
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3n E2B
Average Score:51.7%
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Jamba 1.5 Large
Average Score:93.0%(+41.3%)
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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:51.7%
Providers:0
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Jamba 1.5 Large
Avg Score:93.0%(+41.3%)
Providers:2