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Llama 3.1 Nemotron Nano 8B vs o3 mini
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama-3.1-Nemotron-Nano-8B-v1 is an 8-billion-parameter model from NVIDIA, developed as a fine-tuned variant of Meta's Llama 3.1 8B using NVIDIA's Nemotron post-training methodology, which applies reinforcement learning and process reward modeling to enhance instruction-following and reasoning capability over the base model. The Nano designation marks it as the entry-level member of the Nemotron family, optimized for efficient inference on a single GPU while delivering meaningfully improved performance on instruction alignment and agentic tasks compared to standard Llama 3.1. Released open-weight on HuggingFace, it is designed for deployment in NVIDIA-accelerated environments and supports NVIDIA NIM for enterprise inference.
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OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
25 days newer
Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
o3 mini
OpenAI
2025-01-31
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Nano 8B
0 providers
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o3 mini
1 providers
OpenAI
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Llama 3.1 Nemotron Nano 8B
Avg Score:0.0%
Providers:0
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o3 mini
Avg Score:0.0%
Providers:1