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Gemma 3n E4B vs Pixtral Large
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 8.2% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
7 months newer
Pixtral Large
Mistral AI
2024-11-18
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemma 3n E4B
Average Score:39.5%(+8.2%)
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Pixtral Large
Average Score:31.3%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
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 E4B
0 providers
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Pixtral Large
1 providers
Mistral AI
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Gemma 3n E4B
Avg Score:39.5%(+8.2%)
Providers:0
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Pixtral Large
Avg Score:31.3%
Providers:1