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Gemma 3n E4B Instructed vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 52.9% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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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 month newer
Gemma 3n E4B Instructed
2025-06-26
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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Gemma 3n E4B Instructed
Average Score:16.2%
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Nemotron Nano 9B v2
Average Score:69.1%(+52.9%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
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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Gemma 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Nemotron Nano 9B v2
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Gemma 3n E4B Instructed
Avg Score:16.2%
Providers:1
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Nemotron Nano 9B v2
Avg Score:69.1%(+52.9%)
Providers:0