Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 1.7% higher average benchmark score. Qwen3 32B offers 123.9K more tokens in context window than GPT-4o. Qwen3 32B is $12.10 cheaper per million tokens. GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K 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 2024, it represents OpenAI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). 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 Cloud / Qwen Team's latest advancement in AI technology.
11 months newer
GPT-4o
OpenAI
2024-05-13
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
GPT-4o
Qwen3 32B
Context window and performance specifications
Average performance across 17 common benchmarks
GPT-4o
Qwen3 32B
Available providers and their performance metrics
GPT-4o
Azure
OpenAI
GPT-4o
Qwen3 32B
GPT-4o
Qwen3 32B
Qwen3 32B
DeepInfra
Novita
Sambanova