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Jamba 1.5 Large vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 2.7% higher average benchmark score. 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
Qwen 2.5 32B was created as a larger variant in the Qwen 2.5 family, designed to deliver enhanced capabilities with 32 billion parameters. Built to serve applications requiring stronger reasoning and generation quality, it represents a powerful option for demanding language understanding tasks.
28 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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%
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Qwen2.5 32B Instruct
Average Score:71.0%(+2.7%)
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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%
Providers:2
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Qwen2.5 32B Instruct
Avg Score:71.0%(+2.7%)
Providers:0