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Gemini 1.0 Pro vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 36.1% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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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 1.0 Pro
2024-02-15
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 1.0 Pro
Average Score:27.9%
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Nemotron Nano 9B v2
Average Score:64.0%(+36.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Nemotron Nano 9B v2
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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Nemotron Nano 9B v2
Avg Score:64.0%(+36.1%)
Providers:0