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

DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K 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 2025, it represents OpenAI's latest advancement in AI technology.

DeepSeek R1 Zero
DeepSeek
2025-01-20

GPT-5 nano
OpenAI
2025-08-07
6 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Zero

GPT-5 nano
Average performance across 1 common benchmarks

DeepSeek R1 Zero

GPT-5 nano
Performance comparison across key benchmark categories

DeepSeek R1 Zero

GPT-5 nano
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Zero

GPT-5 nano
ZeroEval
OpenAI

DeepSeek R1 Zero

GPT-5 nano