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Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.

Try in ewpireqwen/qwen3-coder-next

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

Qwen3 Coder Next in plain words

Qwen3 Coder Next is a text model from Qwen. It takes text as input and returns text. Its context window is 262,144 tokens. It costs 0.148942 credits per 1M input tokens and 0.992942 credits per 1M output tokens.

It is good at calling tools. It does not read images. A context window of 262,144 tokens holds about 1,000,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.001291 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
Qwen
Good at
Tool use
Reads
Text
Produces
Text
Context window
262,144 tokens

Price

Input, per 1M tokens
0.148942 credits
Output, per 1M tokens
0.992942 credits

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-coder-next","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

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