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Gemma 3n E2B vs Pixtral Large
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 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 E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemma 3n E2B
Average Score:35.8%(+4.5%)
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Pixtral Large
Average Score:31.3%
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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 Large
1 providers
Mistral AI
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Gemma 3n E2B
Avg Score:35.8%(+4.5%)
Providers:0
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Pixtral Large
Avg Score:31.3%
Providers:1