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Jamba 1.5 Large vs Nova Micro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Jamba 1.5 Large offers 256.0K more tokens in context window than Nova Micro. Nova Micro is $9.83 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Nova Micro
Amazon
2024-11-20
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
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Nova Micro
Input:$0.03
Output:$0.14($9.83 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Large
Average Score:74.5%
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Nova Micro
Average Score:75.0%(+0.5%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Nova Micro
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Jamba 1.5 Large
Avg Score:74.5%
Providers:2
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Nova Micro
Avg Score:75.0%(+0.5%)
Providers:1