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Jamba 1.5 Large vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Jamba 1.5 Large 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 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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Alibaba Cloud / Qwen Team
Qwen2 72B was developed as the flagship model in the Qwen2 generation, designed to provide advanced language understanding with 72 billion parameters. Built to deliver strong performance across diverse tasks, it represented a significant advancement in Qwen's model capabilities when introduced.
1 month newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Jamba 1.5 Large
AI21 Labs
2024-08-22
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Jamba 1.5 Large
Average Score:68.3%(+1.0%)
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Qwen2 72B Instruct
Average Score:67.3%
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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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Jamba 1.5 Large
Avg Score:68.3%(+1.0%)
Providers:2
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Qwen2 72B Instruct
Avg Score:67.3%
Providers:0