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Gemma 3 4B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 6.7% higher average benchmark score. Gemma 3 4B offers 230.1K more tokens in context window than Phi 4. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Overall, Phi 4 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-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
3 months newer
Phi 4
Microsoft
2024-12-12
Gemma 3 4B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($0.15 cheaper)
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Phi 4
Input:$0.07
Output:$0.14
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemma 3 4B
Average Score:52.6%
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Phi 4
Average Score:59.2%(+6.7%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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 4
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Gemma 3 4B
Avg Score:52.6%
Providers:1
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Phi 4
Avg Score:59.2%(+6.7%)
Providers:1