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Llama 3.1 Nemotron Nano 8B vs MiniMax M2.1
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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MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
11 months newer
Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
MiniMax M2.1
MiniMax
2025-12-23
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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MiniMax M2.1
1 providers
MiniMax
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Llama 3.1 Nemotron Nano 8B
Avg Score:0.0%
Providers:0
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MiniMax M2.1
Avg Score:0.0%
Providers:1