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Gemma 3 12B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 9.0% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
6 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3 12B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemma 3 12B
Average Score:74.8%(+9.0%)
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Phi-3.5-MoE-instruct
Average Score:65.8%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Phi-3.5-MoE-instruct
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Gemma 3 12B
Avg Score:74.8%(+9.0%)
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:65.8%
Providers:0