Qwen3 Coder Next (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
Independent benchmark scores for Qwen3 Coder Next, measured by Artificial Analysis. Higher is better.
Qwen3 Coder Next is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.
Qwen3 Coder Next is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free. It scores 21.1 on the Artificial Analysis intelligence index.
The weights are free and open — you can self-host Qwen3 Coder Next and pay nothing per token. If you prefer a hosted API, list prices are $0.12 per million input tokens and $0.8 per million output tokens.
Independent benchmarks from Artificial Analysis give it GPQA 73.7%, Humanity's Last Exam 9.3%, Long Context Reasoning 40%, SciCode 32.3%, IFBench 35.2%, τ²-Bench 79.5%, τ-Bench Banking 5.2%, Terminal-Bench 38.2%, Terminal-Bench Hard 18.2%. It is particularly used for code generation.
It generates about 131.4 tokens per second, with a median 0.99s delay before the first token. Measured independently by Artificial Analysis.
Yes. Qwen3 Coder Next has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.