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Gemma 3n E2B Instructed LiteRT (Preview) vs Grok Code Fast 1
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 40.0% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. 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.
3 months newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Grok Code Fast 1
xAI
2025-08-28
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Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:42.4%(+40.0%)
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Grok Code Fast 1
Average Score:2.4%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
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 Instructed LiteRT (Preview)
0 providers
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Grok Code Fast 1
1 providers
xAI
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:42.4%(+40.0%)
Providers:0
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Grok Code Fast 1
Avg Score:2.4%
Providers:1