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Jamba 1.5 Large vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
1 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Phi-3.5-vision-instruct
Microsoft
2024-08-23
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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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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Phi-3.5-vision-instruct
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Jamba 1.5 Large
Avg Score:0.0%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:0.0%
Providers:0