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Gemini 2.0 Flash Thinking vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 10.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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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.
6 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%(+10.2%)
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Nemotron Nano 9B v2
Average Score:64.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
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 2.0 Flash Thinking
0 providers
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Nemotron Nano 9B v2
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+10.2%)
Providers:0
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Nemotron Nano 9B v2
Avg Score:64.0%
Providers:0