Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 2.0% higher average benchmark score. GPT-4.1 offers 932.9K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $9.05 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
GPT-4.1
OpenAI
2025-04-14
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)
GPT-4.1
Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 50 common benchmarks
GPT-4.1
Qwen3-235B-A22B-Instruct-2507
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Qwen3-235B-A22B-Instruct-2507
GPT-4.1
Qwen3-235B-A22B-Instruct-2507
GPT-4.1
Qwen3-235B-A22B-Instruct-2507
Novita