Comprehensive side-by-side LLM comparison
GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba / Qwen
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
6 months newer
Qwen2.5 7B Instruct
Alibaba / Qwen
2024-09-19

GPT-4.1
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
GPT-4.1
OpenAI
Qwen2.5 7B Instruct
GPT-4.1
Qwen2.5 7B Instruct
GPT-4.1
Qwen2.5 7B Instruct