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Jamba 1.5 Large vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 11.4% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $9.97 cheaper per million tokens. 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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
1 month newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Llama 3.2 3B Instruct
Meta
2024-09-25
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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 3.2 3B Instruct
Input:$0.01
Output:$0.02($9.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Large
Average Score:74.5%(+11.4%)
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Llama 3.2 3B Instruct
Average Score:63.1%
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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
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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 3.2 3B Instruct
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Jamba 1.5 Large
Avg Score:74.5%(+11.4%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:63.1%
Providers:1