Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 2.3% higher average benchmark score. GPT-4.1 offers 896.8K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $8.63 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
OpenAI
GPT-4.1, released by OpenAI in April 2025, is a large language model from the GPT-4 family optimized for coding, precise instruction following, and long-context tasks. It features a 1M token context window and native image understanding, with improved performance on tool-calling and web development benchmarks compared to GPT-4o. GPT-4.1 targets software development workflows, long-document analysis, and applications requiring accurate, instruction-adherent outputs.
4 months newer

GPT-4.1
OpenAI
2025-04-14

DeepSeek-V3.1
DeepSeek
2025-08-21
Cost per million tokens (USD)
DeepSeek-V3.1
GPT-4.1
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.1
GPT-4.1
Performance comparison across key benchmark categories
DeepSeek-V3.1
GPT-4.1
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
GPT-4.1
DeepSeek-V3.1
GPT-4.1
DeepSeek-V3.1
GPT-4.1
OpenAI