Comprehensive side-by-side LLM comparison
DeepSeek-V3.2 leads with 27.4% higher average benchmark score. GPT-4.1 mini offers 896.8K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $0.63 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, DeepSeek-V3.2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks 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.
7 months newer

GPT-4.1 mini
OpenAI
2025-04-14

DeepSeek-V3.2
DeepSeek
2025-12-01
Cost per million tokens (USD)
DeepSeek-V3.2
GPT-4.1 mini
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.2
GPT-4.1 mini
Performance comparison across key benchmark categories
DeepSeek-V3.2
GPT-4.1 mini
Available providers and their performance metrics
DeepSeek-V3.2
DeepSeek
GPT-4.1 mini
DeepSeek-V3.2
GPT-4.1 mini
DeepSeek-V3.2
GPT-4.1 mini
OpenAI