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Jamba 1.5 Mini vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 3.5% higher average benchmark score. Jamba 1.5 Mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
1 month newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Mini
Average Score:71.3%
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Llama 3.1 Nemotron 70B Instruct
Average Score:74.9%(+3.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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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Llama 3.1 Nemotron 70B Instruct
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Jamba 1.5 Mini
Avg Score:71.3%
Providers:2
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Llama 3.1 Nemotron 70B Instruct
Avg Score:74.9%(+3.5%)
Providers:0