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DeepSeek-V3 vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 33.1% higher average benchmark score. 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 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
2 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3 1B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:56.7%(+33.1%)
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Gemma 3 1B
Average Score:23.6%
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 1B
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DeepSeek-V3
Avg Score:56.7%(+33.1%)
Providers:1
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Gemma 3 1B
Avg Score:23.6%
Providers:0