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Gemma 3 27B vs Phi 4
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 5.3% higher average benchmark score. Gemma 3 27B offers 230.1K more tokens in context window than Phi 4. 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-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.
3 months newer
Phi 4
Microsoft
2024-12-12
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
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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Gemma 3 27B
Average Score:64.5%(+5.3%)
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Phi 4
Average Score:59.2%
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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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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:64.5%(+5.3%)
Providers:2
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Phi 4
Avg Score:59.2%
Providers:1