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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22

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

GPT-5 nano

Qwen3-235B-A22B-Instruct-2507
Average performance across 1 common benchmarks

GPT-5 nano

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

GPT-5 nano

Qwen3-235B-A22B-Instruct-2507
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

Qwen3-235B-A22B-Instruct-2507

GPT-5 nano

Qwen3-235B-A22B-Instruct-2507