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

GPT-5 mini
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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 32B
Alibaba
2025-04-29

GPT-5 mini
OpenAI
2025-08-07
3 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-5 mini

Qwen3 32B
Performance Metrics
Context window and performance specifications

GPT-5 mini

Qwen3 32B
Average performance across 1 common benchmarks

GPT-5 mini

Qwen3 32B
Performance comparison across key benchmark categories

GPT-5 mini

Qwen3 32B
GPT-5 mini
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 mini
ZeroEval
OpenAI

Qwen3 32B
Sambanova
DeepInfra
Novita

GPT-5 mini

Qwen3 32B