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

Gemini 1.5 Pro
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.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
5 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Llama 3.1 Nemotron 70B Instruct
Average performance across 3 common benchmarks

Gemini 1.5 Pro

Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Llama 3.1 Nemotron 70B Instruct
Gemini 1.5 Pro
2023-11-01
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Llama 3.1 Nemotron 70B Instruct

Gemini 1.5 Pro

Llama 3.1 Nemotron 70B Instruct