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DeepSeek VL2 vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large offers 253.4K more tokens in context window than DeepSeek VL2. Jamba 1.5 Large is $4799.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
DeepSeek VL2
DeepSeek
2024-12-13
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($4799.50 cheaper)
Performance Metrics
Context window and performance specifications
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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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Jamba 1.5 Large
2 providers
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Jamba 1.5 Large
Avg Score:0.0%
Providers:2