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DeepSeek-V3 vs Gemma 3n E2B Instructed
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 30.6% higher average benchmark score. Gemma 3n E2B Instructed 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 3N E2B IT was developed as the instruction-tuned version of Gemma 3N E2B, designed to follow user instructions while maintaining edge-optimized efficiency. Built for applications requiring both compact size and reliable instruction-following, it extends conversational AI to resource-constrained environments.
6 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3n E2B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:65.3%(+30.6%)
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Gemma 3n E2B Instructed
Average Score:34.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
2024-06-01
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 3n E2B Instructed
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DeepSeek-V3
Avg Score:65.3%(+30.6%)
Providers:1
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Gemma 3n E2B Instructed
Avg Score:34.7%
Providers:0