Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 53.0% higher average benchmark score. GPT-5 mini offers 140.9K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. GPT-5 mini is $1.05 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. 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.
13 days newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 mini
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 27 common benchmarks
GPT-5 mini
Qwen3-235B-A22B-Thinking-2507
GPT-5 mini
2024-05-30
Available providers and their performance metrics
GPT-5 mini
OpenAI
ZeroEval
GPT-5 mini
Qwen3-235B-A22B-Thinking-2507
GPT-5 mini
Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita