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Gemma 2 9B vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 9.3% higher average benchmark score. Pixtral-12B 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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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Gemma 2 9B
2024-06-27
Pixtral-12B
Mistral AI
2024-09-17
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemma 2 9B
Average Score:41.4%(+9.3%)
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Pixtral-12B
Average Score:32.1%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Pixtral-12B
1 providers
Mistral AI
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Gemma 2 9B
Avg Score:41.4%(+9.3%)
Providers:0
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Pixtral-12B
Avg Score:32.1%
Providers:1