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GPT-4.1 nano vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 16.4% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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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.
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NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
27 days newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 nano
Average Score:50.3%
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Llama-3.3 Nemotron Super 49B v1
Average Score:66.7%(+16.4%)
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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-3.3 Nemotron Super 49B v1
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GPT-4.1 nano
Avg Score:50.3%
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:66.7%(+16.4%)
Providers:0