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Jamba 1.5 Mini vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 22.2% higher average benchmark score. Llama 4 Scout offers 19.5M more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. 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 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
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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 Mini
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 Mini
Input:$0.20
Output:$0.40
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Mini
Average Score:48.2%
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Llama 4 Scout
Average Score:70.4%(+22.2%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
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 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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Llama 4 Scout
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Jamba 1.5 Mini
Avg Score:48.2%
Providers:2
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Llama 4 Scout
Avg Score:70.4%(+22.2%)
Providers:6