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Llama 3.1 Nemotron Ultra 253B v1 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 26.9% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
2 days newer
Llama 4 Maverick
Meta
2025-04-05
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:28.0%
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Llama 4 Maverick
Average Score:54.9%(+26.9%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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Llama 4 Maverick
7 providers
DeepInfra
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:28.0%
Providers:0
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Llama 4 Maverick
Avg Score:54.9%(+26.9%)
Providers:7