+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Command R+ vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 11.5% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Command R+. Command R+ is $8.75 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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.
8 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Command R+
Cohere
2024-08-30
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Command R+
Input:$0.25
Output:$1.00($8.75 cheaper)
+
+
+
+
Jamba 1.5 Large
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Command R+
Average Score:68.4%
+
+
+
+
Jamba 1.5 Large
Average Score:79.9%(+11.5%)
+
+
+
+
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
+
+
+
+
Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
+
+
+
+
Jamba 1.5 Large
+
+
+
+
Command R+
Avg Score:68.4%
Providers:2
+
+
+
+
Jamba 1.5 Large
Avg Score:79.9%(+11.5%)
Providers:2