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Jamba 1.5 Mini vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 14.7% higher average benchmark score. Nova Pro offers 87.7K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $3.40 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 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
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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 Mini
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 Mini
Input:$0.20
Output:$0.40($3.40 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Mini
Average Score:65.9%
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Nova Pro
Average Score:80.6%(+14.7%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
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 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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Nova Pro
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Jamba 1.5 Mini
Avg Score:65.9%
Providers:2
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Nova Pro
Avg Score:80.6%(+14.7%)
Providers:1