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GPT-4.1 mini vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 28.3% higher average benchmark score. GPT-4.1 mini supports multimodal inputs. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 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.
27 days newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
GPT-4.1 mini
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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GPT-4.1 mini
Average Score:43.6%(+28.3%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:15.3%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:43.6%(+28.3%)
Providers:2
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:15.3%
Providers:0