Qwen3 Coder Next: pricing, context and benchmarks

What you need to know about Qwen3 Coder Next

Qwen3 Coder Next was released by Alibaba (Qwen) (China) on February 4, 2026. It accepts text as input and produces text. Its context window reaches 262,144 tokens, larger than 58 % of the models in the registry, and it can write up to 235,929 tokens in one go.

It has been available for about 9 months, long enough for its prices and scores to have settled.

Qwen3 Coder Next pricing

On OpenRouter, Qwen3 Coder Next costs $0.12 per million input tokens and $0.8 per million output tokens. Counting three tokens read for every token written, its average price is $0.29 per million, more expensive than 28 % of paid models (2.6 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0006. At 1,000 tasks a day, budget $19 a month. The price calculator redoes this with your own volumes.

Tokens already sent and cached are billed at $0.07 per million.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Qwen3 Coder Next. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

• It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
• It can answer in an enforced JSON format (structured outputs).

Its weights are open and downloadable from Hugging Face (apache-2.0 licence): you can run it on your own machines without sending your data to a third party. With 79,674,391,296 billion parameters, it needs about 44,521,535,540 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 515,608 times on Hugging Face last month.

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