+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 Nemotron Nano 8B V1 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 22.4% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
29 days newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Average Score:26.6%
+
+
+
+
o4-mini
Average Score:49.0%(+22.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
0 providers
+
+
+
+
o4-mini
1 providers
OpenAI
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Avg Score:26.6%
Providers:0
+
+
+
+
o4-mini
Avg Score:49.0%(+22.4%)
Providers:1