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Gemma 3 12B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 12.9% 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-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
1 month newer
Phi 4 Mini
Microsoft
2025-02-01
Gemma 3 12B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemma 3 12B
Average Score:73.1%(+12.9%)
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Phi 4 Mini
Average Score:60.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
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 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Phi 4 Mini
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Gemma 3 12B
Avg Score:73.1%(+12.9%)
Providers:1
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Phi 4 Mini
Avg Score:60.2%
Providers:0