+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.5 Pro vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 40.1% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
10 months newer
Gemini 1.5 Pro
2024-05-01
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
+
+
+
+
Gemini 1.5 Pro
Average Score:57.6%(+40.1%)
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Average Score:17.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
+
+
+
+
Gemini 1.5 Pro
Avg Score:57.6%(+40.1%)
Providers:1
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Avg Score:17.4%
Providers:0