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Gemini 1.5 Pro vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 4.9% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
1 year newer
Gemini 1.5 Pro
2024-05-01
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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Gemini 1.5 Pro
Average Score:59.1%
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Nemotron Nano 9B v2
Average Score:64.0%(+4.9%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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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Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Nemotron Nano 9B v2
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Gemini 1.5 Pro
Avg Score:59.1%
Providers:1
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Nemotron Nano 9B v2
Avg Score:64.0%(+4.9%)
Providers:0