Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 2.3% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $0.63 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-V3
GPT-4.1 mini
Context window and performance specifications
Average performance across 42 common benchmarks
DeepSeek-V3
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
GPT-4.1 mini
DeepSeek-V3
GPT-4.1 mini
DeepSeek-V3
GPT-4.1 mini
OpenAI
ZeroEval