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Gemini 2.5 Pro Preview 06-05 vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 7.7% higher average benchmark score. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
21 days newer
Gemini 2.5 Pro Preview 06-05
2025-06-05
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:37.3%(+7.7%)
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Gemma 3n E4B
Average Score:29.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
Gemini 2.5 Pro Preview 06-05
2025-01-31
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 2.5 Pro Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Gemma 3n E4B
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Gemini 2.5 Pro Preview 06-05
Avg Score:37.3%(+7.7%)
Providers:1
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Gemma 3n E4B
Avg Score:29.6%
Providers:0