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Jamba 1.5 Mini vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 14.1% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
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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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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
1 month newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Jamba 1.5 Mini
AI21 Labs
2024-08-22
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Mini
Average Score:57.5%
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Llama 3.1 70B Instruct
Average Score:71.6%(+14.1%)
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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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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 70B Instruct
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Jamba 1.5 Mini
Avg Score:57.5%
Providers:2
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Llama 3.1 70B Instruct
Avg Score:71.6%(+14.1%)
Providers:9