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Jamba 1.5 Large vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 13.2% higher average benchmark score. Llama 4 Scout offers 19.5M more tokens in context window than Jamba 1.5 Large. Llama 4 Scout is $9.62 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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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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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00
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Llama 4 Scout
Input:$0.08
Output:$0.30($9.62 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Large
Average Score:57.2%
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Llama 4 Scout
Average Score:70.4%(+13.2%)
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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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Llama 4 Scout
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Jamba 1.5 Large
Avg Score:57.2%
Providers:2
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Llama 4 Scout
Avg Score:70.4%(+13.2%)
Providers:6