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Gemma 3n E2B vs Grok-1.5
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 3.5% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.
1 year newer
Grok-1.5
xAI
2024-03-28
Gemma 3n E2B
2025-06-26
Average performance across 20 common benchmarks
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Gemma 3n E2B
Average Score:32.3%(+3.5%)
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Grok-1.5
Average Score:28.7%
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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-1.5
0 providers
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Gemma 3n E2B
Avg Score:32.3%(+3.5%)
Providers:0
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Grok-1.5
Avg Score:28.7%
Providers:0