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Gemini 1.0 Pro vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 22.7% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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Gemini 1.0 Pro
Average Score:12.4%
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:35.1%(+22.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Gemma 3n E2B Instructed LiteRT (Preview)
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Gemini 1.0 Pro
Avg Score:12.4%
Providers:1
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:35.1%(+22.7%)
Providers:0