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Jamba 1.5 Large vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 11.3% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $9.60 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Llama 3.3 70B Instruct
Meta
2024-12-06
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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 3.3 70B Instruct
Input:$0.20
Output:$0.20($9.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Large
Average Score:57.2%
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Llama 3.3 70B Instruct
Average Score:68.5%(+11.3%)
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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 3.3 70B Instruct
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Jamba 1.5 Large
Avg Score:57.2%
Providers:2
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Llama 3.3 70B Instruct
Avg Score:68.5%(+11.3%)
Providers:9