---
title: "Qwen3 Coder for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using Qwen3 Coder with OpenClaw. Costs $0.22/M input, $0.95/M output. 262K context window. Here's when to use it and when to pick something else."
date: 2026-03-12
updatedDate: 2026-03-12
image: /images/models/provider-qwen-hero.jpg
keywords: "qwen3 coder openclaw, qwen3 coder pricing, qwen3 coder review, qwen (alibaba) openclaw, qwen3 coder api"
category: model-guide
modelData:
  provider: "Qwen (Alibaba)"
  provider_slug: "qwen"
  full_id: "qwen/qwen3-coder"
  input_cost_per_1m: 0.22
  output_cost_per_1m: 0.95
  max_input_tokens: 262100
  max_output_tokens: 262100
  features: ["function_calling"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What are the token limits?"
    answer: "Qwen3 Coder supports a 262,144 token context window for both input and output tasks."
  - question: "How much will I pay for usage?"
    answer: "Input tokens cost $0.22 per million and output tokens cost $0.95 per million."
  - question: "Can it use tools in OpenClaw?"
    answer: "Yes, it has native function_calling support which integrates directly with OpenClaw's tool-using agents."
---

Current as of March 2026. Qwen3 Coder is the step up from Qwen2.5 Coder 32B: 262K context instead of 34K, function calling added, and $0.22/$0.95 pricing instead of the flat $0.18. If you've been hitting the 34K ceiling on Qwen2.5 Coder, this is the natural next move.

## Specs

| | |
|---|---|
| **Provider** | Qwen (Alibaba) |
| **Input cost** | $0.22 / M tokens |
| **Output cost** | $0.95 / M tokens |
| **Context window** | 262K tokens |
| **Max output** | 262K tokens |
| **Parameters** | N/A |
| **Features** | function_calling |

## What it's good at

#### 262K Context for Both Input and Output

This is the key number. You can ingest large multi-file codebases and generate similarly large outputs. Cross-file dependency analysis becomes actually feasible.

#### Price-to-Context Ratio

$0.22/$0.95 for 262K context is competitive. Claude 3.5 Sonnet costs $3.00 input for the same context window size.

#### CJK Codebases

Same CJK advantage as the 2.5 series — handles Chinese, Japanese, and Korean code documentation better than Llama-based alternatives.

## Where it falls short

#### Proprietary License

The 2.5 series was Apache-2.0. Qwen3 Coder is proprietary. If your team has strict open-source requirements, that matters.

#### Reasoning on Complex Logic

It occasionally hallucinates variable names or misses edge cases in complex multi-step chains. Not a replacement for Claude or GPT-4o when the logic is genuinely hard.

## Best use cases with OpenClaw

- **Cross-file Codebase Analysis** — The 262K window lets OpenClaw agents see the full picture without aggressive chunking.
- **High-frequency Agentic Loops** — Function calling at $0.22/$0.95 is cheap enough to run many iterations without the cost getting out of hand.

## Not ideal for

- **Security Audits** — Logic inconsistency on edge cases is a real risk for security-sensitive code review.
- **Strictly Open-Source Stacks** — The proprietary license may block some self-hosting configurations.

## Run it through Haimaker

Skip juggling API keys. One Haimaker key gives you access to every model on the platform. Tell OpenClaw:

```
Add Haimaker as a custom provider to my OpenClaw config. Use these details:

- Provider name: haimaker
- Base URL: https://api.haimaker.ai/v1
- API key: [PASTE YOUR HAIMAKER API KEY HERE]
- API type: openai-completions

Add the auto-router model:
- haimaker/auto (reasoning: false, context: 128000, max tokens: 32000)

Create an alias "auto" for easy switching. Apply the config when done.
```

Or skip model selection entirely — Haimaker's [auto-router](/blog/openclaw-auto-router-setup/) picks the best model for each task so you don't have to.

## OpenClaw setup

Point your OpenClaw provider to api.haimaker.ai/v1 or use a local Ollama instance. Ensure the model ID is set exactly to qwen/qwen3-coder to enable native function calling features.

```json
{
  "models": {
    "mode": "merge",
    "providers": {
      "qwen": {
        "baseUrl": "https://api.haimaker.ai/v1",
        "apiKey": "YOUR-QWEN-API-KEY",
        "api": "openai-completions",
        "models": [
          {
            "id": "qwen3-coder",
            "name": "Qwen3 Coder",
            "cost": {
              "input": 0.22,
              "output": 0.95
            },
            "contextWindow": 262100,
            "maxTokens": 262100
          }
        ]
      }
    }
  }
}
```

## How it compares

- **vs Qwen2.5 Coder 32B** — The obvious upgrade path: 262K context vs 34K, function calling added, small price increase.
- **vs Claude 3.5 Sonnet** — Claude writes better code on hard problems. Qwen3 Coder is 14x cheaper on input if your problems aren't that hard.

## Bottom line

The right model when Qwen2.5 Coder 32B's context window is the bottleneck and you don't need frontier reasoning quality.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=qwen3-coder-openclaw" class="cta-button">TRY QWEN3 CODER ON HAIMAKER</a>

---

*For setup instructions, see our [API key guide](/blog/openclaw-api-key-setup). For all available models, see the [complete models guide](/blog/best-models-for-openclaw).*