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DeepSeek R1 Zero vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 36.4% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
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 Zero
Average Score:73.3%(+36.4%)
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Jamba 1.5 Large
Average Score:36.9%
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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 Zero
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
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DeepSeek R1 Zero
Avg Score:73.3%(+36.4%)
Providers:0
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Jamba 1.5 Large
Avg Score:36.9%
Providers:2