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Nova Lite vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Nova Lite leads with 2.6% higher average benchmark score. Nova Lite offers 46.0K more tokens in context window than Phi-4-multimodal-instruct. Both models have similar pricing. 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 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
2 months newer
Nova Lite
Amazon
2024-11-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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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-multimodal-instruct
Input:$0.05
Output:$0.10($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Nova Lite
Average Score:78.9%(+2.6%)
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Phi-4-multimodal-instruct
Average Score:76.3%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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-multimodal-instruct
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Nova Lite
Avg Score:78.9%(+2.6%)
Providers:1
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Phi-4-multimodal-instruct
Avg Score:76.3%
Providers:1