Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M 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.

Llama 3.1 Nemotron Nano 8B V1
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.

Gemini 1.5 Flash
2024-05-01

Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
10 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Llama 3.1 Nemotron Nano 8B V1
Average performance across 1 common benchmarks

Gemini 1.5 Flash

Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Llama 3.1 Nemotron Nano 8B V1
Gemini 1.5 Flash
2023-11-01
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Llama 3.1 Nemotron Nano 8B V1

Gemini 1.5 Flash

Llama 3.1 Nemotron Nano 8B V1