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Gemma 3n E2B vs Grok-4
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 11.3% higher average benchmark score. Grok-4 is available on 2 providers. 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-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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.
13 days newer
Gemma 3n E2B
2025-06-26
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+11.3%)
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Grok-4
Average Score:24.5%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
Grok-4
2024-12-31
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-4
2 providers
xAI
Throughput:
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Gemma 3n E2B
Avg Score:35.8%(+11.3%)
Providers:0
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Grok-4
Avg Score:24.5%
Providers:2