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GPT-4o vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
GPT-4o leads with 3.4% higher average benchmark score. GPT-4o supports multimodal inputs. GPT-4o is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
7 months newer
GPT-4o
OpenAI
2024-08-06
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o
Average Score:70.1%(+3.4%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:66.7%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:70.1%(+3.4%)
Providers:2
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Llama-3.3 Nemotron Super 49B v1
Avg Score:66.7%
Providers:0