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Command R+ vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 2.9% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Command R+. Jamba 1.5 Mini is $0.65 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Cohere
Command R+ was developed by Cohere as an advanced language model designed for enterprise applications requiring retrieval-augmented generation. Built to excel at combining external knowledge with language understanding, it serves businesses needing reliable, factually-grounded AI assistance with strong reasoning and multilingual capabilities.
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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.
8 days newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Command R+
Cohere
2024-08-30
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Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($0.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Command R+
Average Score:68.4%
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Jamba 1.5 Mini
Average Score:71.3%(+2.9%)
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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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Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
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Jamba 1.5 Mini
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Command R+
Avg Score:68.4%
Providers:2
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Jamba 1.5 Mini
Avg Score:71.3%(+2.9%)
Providers:2