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GPT-4.1 nano vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 3.1% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
6 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
GPT-4.1 nano
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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GPT-4.1 nano
Average Score:24.4%(+3.1%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:21.3%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Llama 3.1 Nemotron 70B Instruct
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GPT-4.1 nano
Avg Score:24.4%(+3.1%)
Providers:1
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Llama 3.1 Nemotron 70B Instruct
Avg Score:21.3%
Providers:0