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Jamba 1.5 Mini vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 30.8% higher average benchmark score. Jamba 1.5 Mini 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 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 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 Mini
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 Mini
Average Score:40.3%
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Phi 4 Reasoning
Average Score:71.1%(+30.8%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Mini
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 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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Phi 4 Reasoning
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Jamba 1.5 Mini
Avg Score:40.3%
Providers:2
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Phi 4 Reasoning
Avg Score:71.1%(+30.8%)
Providers:0