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Jamba 1.5 Large vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 19.2% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, Phi 4 Reasoning 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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
8 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Large
Average Score:51.9%
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Phi 4 Reasoning
Average Score:71.1%(+19.2%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
Phi 4 Reasoning
2025-03-01
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 Reasoning
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Jamba 1.5 Large
Avg Score:51.9%
Providers:2
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Phi 4 Reasoning
Avg Score:71.1%(+19.2%)
Providers:0