+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4.1 nano vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 20.3% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Llama 3.1 Nemotron Ultra 253B v1 is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
+
+
+
+
NVIDIA
Llama 3.1 Nemotron Ultra 253B was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
7 days newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
GPT-4.1 nano
OpenAI
2025-04-14
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT-4.1 nano
Average Score:62.4%
+
+
+
+
Llama 3.1 Nemotron Ultra 253B v1
Average Score:82.7%(+20.3%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
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
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
+
+
+
+
Llama 3.1 Nemotron Ultra 253B v1
+
+
+
+
GPT-4.1 nano
Avg Score:62.4%
Providers:1
+
+
+
+
Llama 3.1 Nemotron Ultra 253B v1
Avg Score:82.7%(+20.3%)
Providers:0