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Gemma 3n E2B vs Grok Code Fast 1
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 47.9% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. 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 Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
2 months newer
Gemma 3n E2B
2025-06-26
Grok Code Fast 1
xAI
2025-08-28
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Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Gemma 3n E2B
Average Score:53.8%(+47.9%)
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Grok Code Fast 1
Average Score:5.9%
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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 Code Fast 1
1 providers
xAI
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Gemma 3n E2B
Avg Score:53.8%(+47.9%)
Providers:0
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Grok Code Fast 1
Avg Score:5.9%
Providers:1