Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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.
8 months newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
Llama 3.1 Nemotron Nano 8B
DeepSeek-V3.2 Thinking
Llama 3.1 Nemotron Nano 8B
DeepSeek-V3.2 Thinking
Llama 3.1 Nemotron Nano 8B