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Gemma 3n E4B Instructed vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 7.5% higher average benchmark score. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). 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 mini
xAI
2024-08-13
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemma 3n E4B Instructed
Average Score:34.4%(+7.5%)
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Grok-2 mini
Average Score:26.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Grok-2 mini
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Gemma 3n E4B Instructed
Avg Score:34.4%(+7.5%)
Providers:1
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Grok-2 mini
Avg Score:26.9%
Providers:0