Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 1.8% higher average benchmark score. GPT-4.1 mini offers 896.8K more tokens in context window than DeepSeek-R1. GPT-4.1 mini is $0.74 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
2 months newer

DeepSeek-R1
DeepSeek
2025-01-20

GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-R1
GPT-4.1 mini
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-R1
GPT-4.1 mini
Performance comparison across key benchmark categories
DeepSeek-R1
GPT-4.1 mini
Available providers and their performance metrics
DeepSeek-R1
DeepSeek
GPT-4.1 mini
DeepSeek-R1
GPT-4.1 mini
DeepSeek-R1
GPT-4.1 mini
OpenAI