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Llama 3.1 Nemotron Nano 8B V1 vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 4.2% higher average benchmark score. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA'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.
4 months newer
Pixtral Large
Mistral AI
2024-11-18
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:36.1%
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Pixtral Large
Average Score:40.3%(+4.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Pixtral Large
1 providers
Mistral AI
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:36.1%
Providers:0
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Pixtral Large
Avg Score:40.3%(+4.2%)
Providers:1