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DeepSeek-V3.2-Exp vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 11.2% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. 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
Gemma 3n E2B
2025-06-26
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:37.0%(+11.2%)
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Gemma 3n E2B
Average Score:25.8%
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Gemma 3n E2B
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DeepSeek-V3.2-Exp
Avg Score:37.0%(+11.2%)
Providers:2
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Gemma 3n E2B
Avg Score:25.8%
Providers:0