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Gemma 3 27B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 18.7% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemma 3 27B
Average Score:77.8%(+18.7%)
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Phi-3.5-mini-instruct
Average Score:59.1%
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:77.8%(+18.7%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:59.1%
Providers:1