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Nova Lite vs Phi 4
Comprehensive side-by-side LLM comparison
Nova Lite leads with 1.5% higher average benchmark score. Nova Lite offers 270.0K more tokens in context window than Phi 4. Both models have similar pricing. Nova Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Amazon
Amazon Nova Lite was developed as a lightweight multimodal model, designed to provide efficient AI capabilities for text and image understanding. Built to serve cost-sensitive applications with quick response times, it represents Amazon's entry-level offering in the Nova family.
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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 Lite
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 Lite
Input:$0.06
Output:$0.24
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Phi 4
Input:$0.07
Output:$0.14($0.09 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Nova Lite
Average Score:75.2%(+1.5%)
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Phi 4
Average Score:73.7%
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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 Lite
1 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
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Phi 4
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Nova Lite
Avg Score:75.2%(+1.5%)
Providers:1
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Phi 4
Avg Score:73.7%
Providers:1