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Llama-3.1 Nemotron Ultra 253B vs o4 mini
Comprehensive side-by-side LLM comparison
o4 mini supports multimodal inputs. 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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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
9 days newer
Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07
o4 mini
OpenAI
2025-04-16
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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o4 mini
1 providers
OpenAI
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Llama-3.1 Nemotron Ultra 253B
Avg Score:0.0%
Providers:0
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o4 mini
Avg Score:0.0%
Providers:1