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Llama-3.3 Nemotron Super 49B vs Minimax M 2.5
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 M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
11 months newer
Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
Minimax M 2.5
MiniMax
2026-02-13
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 M 2.5
1 providers
MiniMax
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Llama-3.3 Nemotron Super 49B
Avg Score:0.0%
Providers:0
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Minimax M 2.5
Avg Score:0.0%
Providers:1