AlibabaText generationReleased August 1, 2025

Qwen3 Coder Next

Name: Qwen3 Coder Next
Brand: Alibaba
SKU: qwen3-coder-next
Availability: InStock

Qwen3 Coder Next costs $0.108 per 1M input tokens and $0.675 per 1M output tokens on LLM API, with a 262K-token context window.

Pricing

Lowest price among 2 providers, after discounts.

Qwen3 Coder Next prices on LLM API
Input	$0.108	per 1M tokens
Output	$0.675	per 1M tokens
Cache read	$0.06	per 1M tokens

Providers

Prices after each provider’s discount; the lowest in bold.

Sort

Providers of Qwen3 Coder Next on LLM API

AWS Bedrock	$0.108	$0.675	$0.06	262K	4K
EmberCloud	$0.108	$0.675	$0.06	262K	4K

Features

“Some providers”: not every provider of this model supports it.

ToolsYes
Parallel tool callsNo
Image inputNo
ReasoningSome providers
Prompt cachingYes
Structured outputsYes
JSON modeYes
StreamingYes
Web searchNo

Call Qwen3 Coder Next

POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs

import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.chat.completions.create(
    model="qwen3-coder-next",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llmapi.ai/v1",
  apiKey: process.env.LLMAPI_KEY,
});

const response = await client.chat.completions.create({
  model: "qwen3-coder-next",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);

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

POST /v1/responsesSet LLMAPI_KEY to your LLM API key.Responses docs

import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.responses.create(
    model="qwen3-coder-next",
    input="Hello",
)
print(response.output_text)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llmapi.ai/v1",
  apiKey: process.env.LLMAPI_KEY,
});

const response = await client.responses.create({
  model: "qwen3-coder-next",
  input: "Hello",
});
console.log(response.output_text);

curl https://api.llmapi.ai/v1/responses \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-coder-next", "input": "Hello"}'

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Prices synced November 3, 2026.