Route requests to
Qwen3 Coder Next
with Merge Gateway

Apply your own routing policies, reduce token costs automatically, and see every routing decision in real time with Merge Gateway.

How Qwen3 Coder Next performs*

Intelligence - general reasoning and knowledge
21
Coding - code generation and problem-solving
23

What Qwen3 Coder Next costs to run

| Vendor | Input / 1M tokens | Output / 1M tokens | Zero data retention | | --- | ---: | ---: | --- | | Amazon Bedrock | $0.5000 | $1.20 | Yes | | Parasail | $0.1500 | $0.8000 | Yes |

Test Qwen3 Coder Next
with Gateway’s Simulator

See a prompt's output, token spend, latency, and more with Qwen3 Coder Next.

Route requests to Qwen3 Coder Next in minutes

To get started in seconds, add our Gateway Implementation skill to your project, or pick your preferred SDK below. Check out our other quick start skills here.
Install the Merge Gateway SDK
Python
Copied!
1$ pip install merge-gateway-sdk
Send a request
Python
Copied!
1from merge_gateway import MergeGateway
2
3client = MergeGateway(api_key="YOUR_API_KEY")
4
5response = client.responses.create(
6    model="openai/gpt-5.2",
7    input=[
8        {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
9        {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
10    ],
11)
12
13print(response.output[0].content[0].text)
Try a diffrent model
Swap the model string to route to a different provider. No other code changes needed.
Anthropic
Copied!
1response = client.responses.create(
2    model="anthropic/claude-sonnet-4-20250514",
3    input=[
4        {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5        {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6    ],
7)
Point to Gateway
Python
Copied!
1from openai import OpenAI
2
3client = OpenAI(
4    api_key="YOUR_API_KEY",
5    base_url="https://api-gateway.merge.dev/v1/openai",
6)
Send a request
Use the standard chat.completions.create method. No provider prefix needed on the model name.
Python
Copied!
1response = client.chat.completions.create(
2    model="gpt-5.2",
3    messages=[
4        {"role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5        {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6    ],
7)
8
9print(response.choices[0].message.content)
Install packages
Copied!
1npm install merge-gateway-ai-sdk-provider ai
Create the provider
TypeScript
Copied!
1import { createMergeGateway } from "merge-gateway-ai-sdk-provider";
2
3const gateway = createMergeGateway({
4  apiKey: "YOUR_API_KEY",
5});
Send a request
Use generateText to send a request. Model names use the provider/model format.
TypeScript
Copied!
1import { generateText } from "ai";
2
3const { text } = await generateText({
4  model: gateway("openai/gpt-4o"),
5  prompt: "Explain the concept of recursion in programming with a simple set of examples.",
6});
7
8console.log(text);
If you already have @ai-sdk/openai installed, point it at Gateway with a base URL change:
TypeScript
Copied!
1import { createOpenAI } from "@ai-sdk/openai";
2
3const gateway = createOpenAI({
4  apiKey: "YOUR_API_KEY",
5  baseURL: "https://api-gateway.merge.dev/v1/ai-sdk",
6});
7
8// All generateText/streamText calls work unchanged
Install the Merge Gateway SDK
Anthropic SDK
Copied!
1from anthropic import Anthropic
2
3client = Anthropic(
4    api_key="YOUR_API_KEY",
5    base_url="https://api-gateway.merge.dev/v1/anthropic",
6)
7
8message = client.messages.create(
9    model="claude-sonnet-4-20250514",
10    max_tokens=1024,
11    messages=[
12        {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
13    ],
14)
15
16print(message.content[0].text)

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Qwen3 Coder Next FAQ

Heading

What provider owns Qwen3 Coder Next?

Qwen3 Coder Next is a Qwen model.

Which vendors can run Qwen3 Coder Next?

Amazon Bedrock is the default listed vendor, and other active vendors may also be available.

What context window does Qwen3 Coder Next support?

Qwen3 Coder Next supports 262,144 tokens on the primary listed vendor route.

What capabilities does Qwen3 Coder Next support?

Gateway currently lists streaming, tool calling support for Qwen3 Coder Next across its available vendor routes.

Try Qwen3 Coder Next through Merge Gateway

Route, observe, and control AI requests across providers from one API.