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Llama-3.3 Nemotron Super 49B 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-3.3-Nemotron-Super-49B-v1 is a 49-billion-parameter model from NVIDIA, fine-tuned from Meta's Llama 3.3 using NVIDIA's Nemotron post-training pipeline that combines supervised fine-tuning with reinforcement learning to enhance reasoning, instruction alignment, and complex problem-solving. The Super tier in the Nemotron family represents a mid-range capability level — positioned above the Nano series and below the Ultra 253B flagship — offering a balance between high-quality outputs and manageable inference infrastructure requirements. Released open-weight on HuggingFace with NVIDIA NIM support, it targets teams with multi-GPU setups who need strong reasoning capability without the scale of the Ultra model.
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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.
9 months newer
Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
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-3.3 Nemotron Super 49B
0 providers
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MiniMax M2.1
1 providers
MiniMax
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Llama-3.3 Nemotron Super 49B
Avg Score:0.0%
Providers:0
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MiniMax M2.1
Avg Score:0.0%
Providers:1