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.

GPT-4o
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

GPT-4o
OpenAI
2024-05-13

Gemini 2.0 Flash Thinking
2025-01-21
8 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

GPT-4o
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

GPT-4o
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

GPT-4o
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

GPT-4o
Azure
OpenAI

Gemini 2.0 Flash Thinking

GPT-4o