DeepSeek R1 Distill Qwen 14B vs Jamba 1.5 Large Comparison
Comparing DeepSeek R1 Distill Qwen 14B and Jamba 1.5 Large across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Jamba 1.5 Large has 383.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 2589.2% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Jamba 1.5 Large uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.
DeepSeek R1 Distill Qwen 14B is 5 months newer than Jamba 1.5 Large.
Jan 20, 2025
1.1 years ago
5mo newerAug 22, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.
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Mar 2024
Outputs Comparison
Key Takeaways
Jamba 1.5 Large
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Detailed Comparison
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