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Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 28.8% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:39.7%(+28.8%)
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GPT-3.5 Turbo
Average Score:10.9%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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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GPT-3.5 Turbo
2 providers
Azure
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:39.7%(+28.8%)
Providers:0
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GPT-3.5 Turbo
Avg Score:10.9%
Providers:2