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Gemma 3 12B vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 1.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
6 months newer
Phi-3.5-vision-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 3 common benchmarks
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Gemma 3 12B
Average Score:75.9%
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Phi-3.5-vision-instruct
Average Score:77.3%(+1.4%)
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-vision-instruct
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Gemma 3 12B
Avg Score:75.9%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:77.3%(+1.4%)
Providers:0