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Gemma 3n E2B vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 7.9% higher average benchmark score. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
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xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
1 year newer
Grok-1.5V
xAI
2024-04-12
Gemma 3n E2B
2025-06-26
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+7.9%)
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Grok-1.5V
Average Score:28.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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
0 providers
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Grok-1.5V
0 providers
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Gemma 3n E2B
Avg Score:35.8%(+7.9%)
Providers:0
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Grok-1.5V
Avg Score:28.0%
Providers:0