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Jamba 1.5 Large vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview 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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Alibaba Cloud / Qwen Team
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
4 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
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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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Jamba 1.5 Large
Avg Score:0.0%
Providers:2
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QvQ-72B-Preview
Avg Score:0.0%
Providers:0