Alibaba · Text

OpenClaw x Qwen

Qwen language models from Alibaba are open-weight Mixture-of-Experts and dense LLMs with 131K to 256K context. Most of them accept image input and offer a thinking mode. Through RunAPI they share one API key and per-token billing, and any OpenAI SDK can call them at https://runapi.ai/v1. These are Qwen's language models, separate from the Qwen Image, Qwen 2, and Qwen 3 image generation models.

6 variants from $0.25 / 1M tokens Commercial OK

Prerequisite: npx runapi mcp install

Prompt

Prompt models

Use qwen3.5-122b-a10b when it matches the task: Open-weight Qwen3.5 vision MoE (10B active); 256K context; OpenAI-compatible API.

You have access to RunAPI chat models for Qwen.

Available Qwen models:
- qwen3.5-122b-a10b: Open-weight Qwen3.5 vision MoE (10B active); 256K context; OpenAI-compatible API
  chat endpoints: /v1/chat/completions
- qwen3.5-27b: Dense open-weight Qwen3.5 vision model; 256K context, hybrid thinking; OpenAI-compatible API
  chat endpoints: /v1/chat/completions
- qwen3.5-35b-a3b: Small open-weight Qwen3.5 vision MoE (3B active); 256K context; OpenAI-compatible API
  chat endpoints: /v1/chat/completions
- qwen3.5-397b-a17b: Flagship open-weight Qwen3.5 vision MoE (17B active); 256K context; OpenAI-compatible API
  chat endpoints: /v1/chat/completions
- qwen3.6-27b: Dense open-weight Qwen3.6 vision model for agentic coding; 256K context; OpenAI-compatible API
  chat endpoints: /v1/chat/completions
- qwen3.6-35b-a3b: First open-weight Qwen3.6 model, a vision MoE with 3B active; 256K context; OpenAI-compatible API
  chat endpoints: /v1/chat/completions

Use the model ID and chat endpoint that match the user's request.
Example request: Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it.
Verify the active model with: openclaw models status;openclaw models set runapi/<model-id>

Public Versions and Endpoints

Model ID Endpoints Price Catalog
qwen3.5-122b-a10b
/v1/chat/completions
$0.40 / 1M tokens Model detail
qwen3.5-27b
/v1/chat/completions
$0.30 / 1M tokens Model detail
qwen3.5-35b-a3b
/v1/chat/completions
$0.25 / 1M tokens Model detail
qwen3.5-397b-a17b
/v1/chat/completions
$0.60 / 1M tokens Model detail
qwen3.6-27b
/v1/chat/completions
$0.60 / 1M tokens Model detail
qwen3.6-35b-a3b
/v1/chat/completions
$0.38 / 1M tokens Model detail

Verify

Poll until the task reaches a terminal status

Select <model-id> to generate verification commands.

Configuration

Guide endpoint: <endpoint>

Select <model-id> to generate a request with the endpoint's public input contract.
How it works

Get Started in 3 Steps

  1. Choose a model ID

    Select a public catalog model ID and review its endpoint and current starting price.

  2. Configure RunAPI

    Add the provider configuration for this agent.

  3. Verify the result

    Run the agent status and model-selection commands shown below.

What to Build with OpenClaw + Qwen

  • Agent coding and reasoning

    Let your agent plan, write, and review code or work through multi-step problems with the model's reasoning.

  • Long document analysis and extraction

    Summarize reports, contracts, or codebases and pull structured fields out of long documents.

  • Tool-calling workflows

    Connect the model to functions and APIs so your agent can look up data and take actions between replies.

Why Use Qwen Through RunAPI + OpenClaw

  • 6 variants, one API key

    Use one RunAPI connection to choose among the live model variants without changing your integration.

  • Clear usage pricing

    See current catalog pricing before you send a request, with no subscription or minimum spend required.

  • Direct responses

    Synchronous calls return the result in the same response, so your agent can use it immediately without task polling.

OpenClaw + Qwen Questions

Which Qwen model should I start with?

Start with qwen3.6-27b or qwen3.6-35b-a3b, the newest Qwen models on RunAPI, for chat, coding, and image input. Use qwen3.5-397b-a17b when you want the largest Qwen3.5 model, and qwen3-coder-next for coding agents that do not need a thinking step.

Which Qwen models accept images?

All Qwen3.5 and Qwen3.6 models and both Qwen3-VL-235B-A22B versions accept images. Send them as image_url parts in a Chat Completions request. qwen3-coder-next is text-only.

How does thinking work on Qwen models?

The Qwen3.5 and Qwen3.6 models are hybrid and have thinking and non-thinking modes. qwen3-vl-235b-a22b-thinking always thinks, while qwen3-vl-235b-a22b-instruct and qwen3-coder-next answer without a thinking step.

Which API do I use to call Qwen on RunAPI?

Use the OpenAI-compatible Chat Completions endpoint at https://runapi.ai/v1/chat/completions with your RunAPI API key and a Qwen model ID. Any OpenAI SDK works after you change the base URL.

Are the Qwen language models open-weight?

Yes. Alibaba releases these Qwen models with open weights under the Apache 2.0 license. RunAPI gives you API access, so you do not have to host them on your own GPUs.

How is the Qwen line different from Qwen Image?

The Qwen line holds the language models, which read text and images and return text. Qwen Image, Qwen 2, and Qwen 3 are separate RunAPI lines that generate and edit images.

Which model ID should I use?

Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.

Does this guide configure a chat model?

Yes. This Model Line supports a client-facing LLM protocol.

Start using Qwen with OpenClaw

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