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Gemma 3n E4B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 31.4% higher average benchmark score. Gemma 3n E4B 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 E4B was developed as a slightly larger edge-optimized variant, designed to provide enhanced capabilities while still fitting within edge computing constraints. Built to serve applications that can accommodate more parameters for improved quality, it expands the range of edge deployment options.
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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 E4B
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 E4B
Average Score:61.6%
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Jamba 1.5 Large
Average Score:93.0%(+31.4%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemma 3n E4B
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 E4B
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
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Gemma 3n E4B
Avg Score:61.6%
Providers:0
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Jamba 1.5 Large
Avg Score:93.0%(+31.4%)
Providers:2