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Gemma 2 9B vs Grok-2
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 20.1% higher average benchmark score. Grok-2 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-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.
1 month newer
Gemma 2 9B
2024-06-27
Grok-2
xAI
2024-08-13
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemma 2 9B
Average Score:49.2%(+20.1%)
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Grok-2
Average Score:29.2%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Grok-2
1 providers
xAI
Throughput:
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Gemma 2 9B
Avg Score:49.2%(+20.1%)
Providers:0
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Grok-2
Avg Score:29.2%
Providers:1