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DeepSeek R1 Distill Qwen 7B vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 12.2% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, DeepSeek R1 Distill Qwen 7B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 7B
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 7B
Average Score:49.1%(+12.2%)
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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 Distill Qwen 7B
0 providers
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Jamba 1.5 Large
2 providers
Bedrock
Throughput:
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+12.2%)
Providers:0
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Jamba 1.5 Large
Avg Score:36.9%
Providers:2