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Gemini 2.5 Flash-Lite vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 19.7% higher average benchmark score. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
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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.
2 months newer
Gemini 2.5 Flash-Lite
2025-06-17
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:49.4%
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Nemotron Nano 9B v2
Average Score:69.1%(+19.7%)
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Nemotron Nano 9B v2
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Gemini 2.5 Flash-Lite
Avg Score:49.4%
Providers:1
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Nemotron Nano 9B v2
Avg Score:69.1%(+19.7%)
Providers:0