Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 mini offers 272.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $1.95 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 DeepSeek's latest advancement in AI technology.
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.
6 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
GPT-5 mini
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek R1 Distill Qwen 32B
GPT-5 mini
GPT-5 mini
2024-05-30
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
GPT-5 mini
DeepSeek R1 Distill Qwen 32B
GPT-5 mini
DeepSeek R1 Distill Qwen 32B
GPT-5 mini
OpenAI
ZeroEval