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Gemma 3n E2B vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 6.8% higher average benchmark score. Overall, Pixtral-12B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
9 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 3n E2B
Average Score:28.0%
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Pixtral-12B
Average Score:34.9%(+6.8%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
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 3n E2B
0 providers
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Pixtral-12B
1 providers
Mistral AI
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Gemma 3n E2B
Avg Score:28.0%
Providers:0
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Pixtral-12B
Avg Score:34.9%(+6.8%)
Providers:1