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DeepSeek-V3 0324 vs Gemma 3n E4B Instructed LiteRT Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 35.2% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview 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 E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
1 month newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek-V3 0324
Average Score:11.7%
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:46.9%(+35.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed LiteRT Preview
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 E4B Instructed LiteRT Preview
0 providers
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DeepSeek-V3 0324
Avg Score:11.7%
Providers:1
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:46.9%(+35.2%)
Providers:0