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Jamba 1.5 Large vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 28.3% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, QwQ-32B 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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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
6 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Jamba 1.5 Large
Average Score:36.9%
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QwQ-32B
Average Score:65.2%(+28.3%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
QwQ-32B
2024-11-28
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:36.9%
Providers:2
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QwQ-32B
Avg Score:65.2%(+28.3%)
Providers:0