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Nova Micro vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 1.3% higher average benchmark score. Nova Micro offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
22 days newer
Nova Micro
Amazon
2024-11-20
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Nova Micro
Input:$0.03
Output:$0.14($0.04 cheaper)
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Phi 4
Input:$0.07
Output:$0.14
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Nova Micro
Average Score:72.4%
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Phi 4
Average Score:73.7%(+1.3%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
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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Nova Micro
1 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
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Phi 4
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Nova Micro
Avg Score:72.4%
Providers:1
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Phi 4
Avg Score:73.7%(+1.3%)
Providers:1