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Jamba 1.5 Mini vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 30.4% higher average benchmark score. Llama 4 Maverick offers 1.5M more tokens in context window than Jamba 1.5 Mini. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick 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 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Llama 4 Maverick
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($0.17 cheaper)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
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 Maverick
Average Score:78.6%(+30.4%)
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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 Maverick
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Jamba 1.5 Mini
Avg Score:48.2%
Providers:2
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Llama 4 Maverick
Avg Score:78.6%(+30.4%)
Providers:7