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Jamba 1.5 Large vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 8.3% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $9.94 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
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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.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 month newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Jamba 1.5 Large
AI21 Labs
2024-08-22
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($9.94 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Large
Average Score:66.1%(+8.3%)
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Llama 3.1 8B Instruct
Average Score:57.9%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
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
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Llama 3.1 8B Instruct
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Jamba 1.5 Large
Avg Score:66.1%(+8.3%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:57.9%
Providers:9