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Command R+ vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
8 days newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Command R+
Cohere
2024-08-30
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 10 common benchmarks
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Command R+
Average Score:44.8%
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Jamba 1.5 Mini
Average Score:44.9%(+0.1%)
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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:44.8%
Providers:2
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Jamba 1.5 Mini
Avg Score:44.9%(+0.1%)
Providers:2