Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 8.9% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Qwen3 30B A3B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, GPT-4.1 nano 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 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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.
15 days newer
GPT-4.1 nano
OpenAI
2025-04-14
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
GPT-4.1 nano
Qwen3 30B A3B
Context window and performance specifications
Average performance across 30 common benchmarks
GPT-4.1 nano
Qwen3 30B A3B
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Qwen3 30B A3B
GPT-4.1 nano
Qwen3 30B A3B
GPT-4.1 nano
Qwen3 30B A3B
DeepInfra
Fireworks
Novita