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Gemma 3 4B vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 10.2% higher average benchmark score. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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 4B
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 4B
Average Score:67.1%
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Phi-3.5-vision-instruct
Average Score:77.3%(+10.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
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 4B
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 4B
Avg Score:67.1%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:77.3%(+10.2%)
Providers:0