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Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 18.3% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
8 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:53.4%
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Qwen2.5-Coder 32B Instruct
Average Score:71.8%(+18.3%)
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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
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Qwen2.5-Coder 32B Instruct
4 providers
DeepInfra
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:53.4%
Providers:0
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Qwen2.5-Coder 32B Instruct
Avg Score:71.8%(+18.3%)
Providers:4