Comprehensive side-by-side LLM comparison
o3-mini leads with 42.3% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $5.20 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
10 days newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
o3-mini
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek R1 Distill Qwen 32B
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
o3-mini
DeepSeek R1 Distill Qwen 32B
o3-mini
DeepSeek R1 Distill Qwen 32B
o3-mini
Azure
OpenAI