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Gemma 3 4B vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 29.1% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
6 days newer
Gemma 3 4B
2025-03-12
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemma 3 4B
Average Score:45.9%(+29.1%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:16.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Llama 3.1 Nemotron Nano 8B V1
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Gemma 3 4B
Avg Score:45.9%(+29.1%)
Providers:1
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:16.8%
Providers:0