+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.0 Flash Thinking vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 31.4% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Llama 3.1 Nemotron Nano 8B V1 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Average performance across 9 common benchmarks
+
+
+
+
Gemini 2.0 Flash Thinking
Average Score:24.8%
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Average Score:56.1%(+31.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B 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
+
+
+
+
Gemini 2.0 Flash Thinking
0 providers
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
0 providers
+
+
+
+
Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Avg Score:56.1%(+31.4%)
Providers:0