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Gemma 3 4B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 30.6% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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.
5 months newer
Gemma 3 4B
2025-03-12
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 3 4B
Average Score:44.5%
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Nemotron Nano 9B v2
Average Score:75.1%(+30.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
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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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Nemotron Nano 9B v2
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Gemma 3 4B
Avg Score:44.5%
Providers:1
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Nemotron Nano 9B v2
Avg Score:75.1%(+30.6%)
Providers:0