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DeepSeek-V2.5 vs Gemma 3n E2B Instructed
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 21.4% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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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 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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3n E2B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V2.5
Average Score:84.7%(+21.4%)
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Gemma 3n E2B Instructed
Average Score:63.3%
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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-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:84.7%(+21.4%)
Providers:3
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Gemma 3n E2B Instructed
Avg Score:63.3%
Providers:0