Qwen3 Coder Next
ChatNot available
MoE model specialized for coding agents and local development. Extremely efficient.
- Context
- 262Ktokens
- Max output
- 262Ktokens
- Released
- 2026-02
Pricing
$ / 1M tokensInput
$0.11/M
Output
$1.50/M
Cache Read
$0.07/M
Cache Write
$0.11/M
Capabilities
1 listed- Chat
Code examples
POST /v1/chat/completionspython
from openai import OpenAI
client = OpenAI(
api_key="your_api_key",
base_url="https://api.modelstack.cc/v1",
)
response = client.chat.completions.create(
model="qwen3-coder-next",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Related models
Frequently asked questions
How is Qwen3 Coder Next billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for Qwen3 Coder Next?expand_more
Qwen3 Coder Next has a 262K context window and supports up to 262K of output.
How can I call Qwen3 Coder Next through ModelStack?expand_more
Use the model ID `qwen3-coder-next` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does Qwen3 Coder Next support?expand_more
Qwen3 Coder Next supports: Chat.