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DeepSeek-V3 0324 vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 18.3% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
3 months newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-V3 0324
Average Score:22.0%
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Gemma 3n E2B
Average Score:40.3%(+18.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 0324
1 providers
Novita
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Gemma 3n E2B
0 providers
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DeepSeek-V3 0324
Avg Score:22.0%
Providers:1
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Gemma 3n E2B
Avg Score:40.3%(+18.3%)
Providers:0