+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V2.5 vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 21.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek-V2.5
Average Score:84.7%(+21.4%)
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:63.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B 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
+
+
+
+
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
+
+
+
+
+
+
+
DeepSeek-V2.5
Avg Score:84.7%(+21.4%)
Providers:3
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:63.3%
Providers:0