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DeepSeek-V3 vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 20.5% higher average benchmark score. Gemma 3 4B is $1.31 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
2 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3 4B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Gemma 3 4B
Input:$0.02
Output:$0.04($1.31 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:56.7%(+20.5%)
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Gemma 3 4B
Average Score:36.2%
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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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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Gemma 3 4B
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DeepSeek-V3
Avg Score:56.7%(+20.5%)
Providers:1
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Gemma 3 4B
Avg Score:36.2%
Providers:1