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Nova Micro vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Nova Micro
Amazon
2024-11-20
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Nova Micro
Average Score:39.3%(+1.0%)
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Phi 4 Mini
Average Score:38.3%
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Knowledge Cutoff
Training data recency comparison
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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Nova Micro
1 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
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Phi 4 Mini
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Nova Micro
Avg Score:39.3%(+1.0%)
Providers:1
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Phi 4 Mini
Avg Score:38.3%
Providers:0