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Gemma 3 1B vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Grok-2 mini leads with 2.5% higher average benchmark score. Grok-2 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). 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-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.
7 months newer
Grok-2 mini
xAI
2024-08-13
Gemma 3 1B
2025-03-12
Average performance across 22 common benchmarks
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Gemma 3 1B
Average Score:24.5%
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Grok-2 mini
Average Score:26.9%(+2.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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Grok-2 mini
0 providers
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Gemma 3 1B
Avg Score:24.5%
Providers:0
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Grok-2 mini
Avg Score:26.9%(+2.5%)
Providers:0