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Gemma 2 9B vs Grok-3 Mini
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 34.2% higher average benchmark score. Grok-3 Mini supports multimodal inputs. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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 2025, it represents xAI's latest advancement in AI technology.
7 months newer
Gemma 2 9B
2024-06-27
Grok-3 Mini
xAI
2025-02-17
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemma 2 9B
Average Score:51.7%(+34.2%)
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Grok-3 Mini
Average Score:17.5%
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
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 2 9B
0 providers
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Grok-3 Mini
1 providers
xAI
Throughput:
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Gemma 2 9B
Avg Score:51.7%(+34.2%)
Providers:0
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Grok-3 Mini
Avg Score:17.5%
Providers:1