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Gemma 3 12B vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 15.6% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Phi 4 Reasoning 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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
1 month newer
Gemma 3 12B
2025-03-12
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3 12B
Average Score:53.8%
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Phi 4 Reasoning
Average Score:69.3%(+15.6%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
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Gemma 3 12B
Avg Score:53.8%
Providers:1
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Phi 4 Reasoning
Avg Score:69.3%(+15.6%)
Providers:0