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Jamba 1.5 Mini vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 1.5% higher average benchmark score. Jamba 1.5 Mini 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 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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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Jamba 1.5 Mini
Average Score:58.0%
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Phi 4 Mini
Average Score:59.5%(+1.5%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
2024-03-05
Phi 4 Mini
2024-06-01
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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Phi 4 Mini
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Jamba 1.5 Mini
Avg Score:58.0%
Providers:2
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Phi 4 Mini
Avg Score:59.5%(+1.5%)
Providers:0