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Gemini 2.0 Flash Thinking vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 38.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Average performance across 9 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:24.8%
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Llama-3.3 Nemotron Super 49B v1
Average Score:63.0%(+38.2%)
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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-3.3 Nemotron Super 49B v1
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
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Llama-3.3 Nemotron Super 49B v1
Avg Score:63.0%(+38.2%)
Providers:0