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Gemini 2.0 Flash Thinking vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 31.6% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Llama 3.1 Nemotron Ultra 253B v1 is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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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.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 8 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:27.9%
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:59.4%(+31.6%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:27.9%
Providers:0
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:59.4%(+31.6%)
Providers:0