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GPT-4o mini vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 1.8% higher average benchmark score. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
2 months newer
GPT-4o mini
OpenAI
2024-07-18
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:82.0%(+1.8%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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 mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Llama 3.1 Nemotron 70B Instruct
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GPT-4o mini
Avg Score:82.0%(+1.8%)
Providers:1
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%
Providers:0