Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Instruct leads with 17.5% higher average benchmark score. GPT-4.1 nano offers 949.3K more tokens in context window than Qwen3-Next-80B-A3B-Instruct. GPT-4.1 nano is $1.15 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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.
4 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
GPT-4.1 nano
Qwen3-Next-80B-A3B-Instruct
Context window and performance specifications
Average performance across 43 common benchmarks
GPT-4.1 nano
Qwen3-Next-80B-A3B-Instruct
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Qwen3-Next-80B-A3B-Instruct
GPT-4.1 nano
Qwen3-Next-80B-A3B-Instruct
GPT-4.1 nano
Qwen3-Next-80B-A3B-Instruct
Novita