Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 1B
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google'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.
Gemma 3 1B
2025-03-12
GPT-5 nano
OpenAI
2025-08-07
4 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 1B
GPT-5 nano
Average performance across 1 common benchmarks
Gemma 3 1B
GPT-5 nano
Performance comparison across key benchmark categories
Gemma 3 1B
GPT-5 nano
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 1B
GPT-5 nano
ZeroEval
OpenAI
Gemma 3 1B
GPT-5 nano