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Jamba 1.5 Large vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 6.1% higher average benchmark score. Nova Pro offers 88.0K more tokens in context window than Jamba 1.5 Large. Nova Pro is $6.00 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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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 Pro was developed as the flagship model in the Nova family, designed to provide advanced multimodal understanding across text, images, and other modalities. Built to handle complex tasks requiring sophisticated reasoning, it represents Amazon's most capable offering for enterprise applications.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Nova Pro
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 Pro
Input:$0.80
Output:$3.20($6.00 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 Pro
Average Score:80.6%(+6.1%)
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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 Pro
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Jamba 1.5 Large
Avg Score:74.5%
Providers:2
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Nova Pro
Avg Score:80.6%(+6.1%)
Providers:1