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Gemma 3 4B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 4.6% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $9.94 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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.
6 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3 4B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($9.94 cheaper)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 4B
Average Score:54.5%
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Jamba 1.5 Large
Average Score:59.1%(+4.6%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Gemma 3 4B
2024-08-01
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 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Jamba 1.5 Large
2 providers
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Gemma 3 4B
Avg Score:54.5%
Providers:1
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Jamba 1.5 Large
Avg Score:59.1%(+4.6%)
Providers:2