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Gemma 3 1B vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 3.4% higher average benchmark score. Grok-2 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 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. 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 2024, it represents xAI's latest advancement in AI technology.
7 months newer
Grok-2
xAI
2024-08-13
Gemma 3 1B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemma 3 1B
Average Score:24.5%
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Grok-2
Average Score:27.8%(+3.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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Grok-2
1 providers
xAI
Throughput:
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Gemma 3 1B
Avg Score:24.5%
Providers:0
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Grok-2
Avg Score:27.8%(+3.4%)
Providers:1