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Gemma 3n E2B vs Grok-2
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 1.7% higher average benchmark score. 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-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. 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 2024, it represents xAI's latest advancement in AI technology.
10 months newer
Grok-2
xAI
2024-08-13
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 3n E2B
Average Score:34.0%(+1.7%)
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Grok-2
Average Score:32.2%
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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-2
1 providers
xAI
Throughput:
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Gemma 3n E2B
Avg Score:34.0%(+1.7%)
Providers:0
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Grok-2
Avg Score:32.2%
Providers:1