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DeepSeek R1 Distill Qwen 1.5B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 3.1% 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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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Jamba 1.5 Large
Average Score:36.9%(+3.1%)
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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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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput:
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Jamba 1.5 Large
Avg Score:36.9%(+3.1%)
Providers:2