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Llama-3.1 Nemotron Ultra 253B 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-3.1-Nemotron-Ultra-253B-v1 is a 253-billion-parameter model from NVIDIA, derived from Meta's Llama 3.1 405B using neural architecture search (NAS) compression combined with NVIDIA's Nemotron post-training pipeline, which recovers and exceeds the base model's capability after structural compression. Released in April 2025, it supports toggling between a standard instruction mode and an extended reasoning mode via system prompt, allowing the same model to handle both rapid responses and deliberate chain-of-thought tasks. It is the flagship of the Nemotron family, available open-weight on HuggingFace and through NVIDIA NIM for enterprise inference.
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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.
10 months newer
Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07
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-3.1 Nemotron Ultra 253B
0 providers
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Minimax M 2.5
1 providers
MiniMax
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Llama-3.1 Nemotron Ultra 253B
Avg Score:0.0%
Providers:0
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Minimax M 2.5
Avg Score:0.0%
Providers:1