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Gemma 3 27B vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 4.1% higher average benchmark score. Gemma 3 27B offers 6.1K 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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Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
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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.
1 month newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Gemma 3 27B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20
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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 5 common benchmarks
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Gemma 3 27B
Average Score:77.0%
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Phi-4-multimodal-instruct
Average Score:81.0%(+4.1%)
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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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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:77.0%
Providers:2
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Phi-4-multimodal-instruct
Avg Score:81.0%(+4.1%)
Providers:1