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

Gemini 2.0 Flash Thinking
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.

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.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01

Gemini 2.0 Flash Thinking
2025-01-21
3 months newer
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Llama 3.1 Nemotron 70B Instruct

Gemini 2.0 Flash Thinking

Llama 3.1 Nemotron 70B Instruct