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Jamba 1.5 Large vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 8.4% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, Jamba 1.5 Large 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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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 Large
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 Large
Average Score:67.9%(+8.4%)
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Phi 4 Mini
Average Score:59.5%
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
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 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Phi 4 Mini
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Jamba 1.5 Large
Avg Score:67.9%(+8.4%)
Providers:2
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Phi 4 Mini
Avg Score:59.5%
Providers:0