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Nemotron Nano 9B v2 vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 29.0% higher average benchmark score. Pixtral-12B supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
11 months newer
Pixtral-12B
Mistral AI
2024-09-17
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Nemotron Nano 9B v2
Average Score:90.3%(+29.0%)
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Pixtral-12B
Average Score:61.3%
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Nemotron Nano 9B v2
0 providers
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Pixtral-12B
1 providers
Mistral AI
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Nemotron Nano 9B v2
Avg Score:90.3%(+29.0%)
Providers:0
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Pixtral-12B
Avg Score:61.3%
Providers:1