Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
GPT-5 nano
OpenAI
2025-08-07
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
1 month newer
Performance Metrics
Context window and performance specifications
GPT-5 nano
Qwen3-Next-80B-A3B-Base
Average performance across 5 common benchmarks
GPT-5 nano
Qwen3-Next-80B-A3B-Base
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics
GPT-5 nano
ZeroEval
OpenAI
Qwen3-Next-80B-A3B-Base
GPT-5 nano
Qwen3-Next-80B-A3B-Base