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Gemma 3n E2B Instructed vs Grok-3
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 8.9% higher average benchmark score. Overall, Gemma 3n E2B Instructed is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 2025, it represents xAI's latest advancement in AI technology.
4 months newer
Grok-3
xAI
2025-02-17
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemma 3n E2B Instructed
Average Score:30.4%(+8.9%)
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Grok-3
Average Score:21.4%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
2024-06-01
Grok-3
2024-11-17
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 Instructed
0 providers
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Grok-3
1 providers
xAI
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Gemma 3n E2B Instructed
Avg Score:30.4%(+8.9%)
Providers:0
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Grok-3
Avg Score:21.4%
Providers:1