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DeepSeek-V2.5 vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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Gemma 3N E2B was created as a specialized efficient variant, designed for deployment in edge and mobile environments with strict resource constraints. Built with optimizations for edge computing, it brings Gemma capabilities to devices and applications where traditional models would be impractical.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3n E2B
2025-06-26
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Performance Metrics
Context window and performance specifications
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:0.0%
Providers:3
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Gemma 3n E2B
Avg Score:0.0%
Providers:0