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qwen3.6-27b

qwen3.6-27b

Global: Qwen 3.6 27B

Input: $0.3376/M
Output: $3.38/M

Specifications

Modalities

Input
text
Output
text

Reasoning Configuration

Default
Thinking on
Turning thinking off
Possible (reasoning.enabled: false)

How to control thinking, and what it costs

Data policy

Prompt retention
Unknown — we could not confirm
Training
Not used for training

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Measured performance

Time to first response (p50)587ms
Throughput (p50)68 tokens/s

    Measured through FastMetal's own gateway over the last 30 days (639 first-response samples).

    Throughput is sampled once a day: the median of 14 observations over the last 30 days.

    Time to first response is measured to the first streamed chunk; throughput counts all output tokens, including reasoning tokens. These are observations, not a performance guarantee.

    Code Examples

    curl https://api.fastmetal.ai/v1/chat/completions \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -d '{
        "model": "qwen3.6-27b",
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

    How qwen3.6-27b actually answers

    Real responses to our standard prompts, recorded on FastMetal.

    Count the number of 'r's in 'strawberry'

    Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

    Let's break down the word **"strawberry"** letter by letter: 1. s 2. t 3. **r** → (1st 'r') 4. a 5. w 6. b 7. e 8. **r** → (2nd 'r') 9. **r** → (3rd 'r') 10. y By checking each position sequentially, we identify an 'r' at the 3rd, 8th, and 9th letters. **Total count:** 1 + 1 + 1 = **3** Therefore, there are **3** 'r's in "strawberry".
    27.0s response1279 output tokens

    Debug This Error

    I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

    ### 🔍 **What's Causing This Error?** The error `Cannot read properties of undefined (reading 'map')` means that the `users` prop is `undefined` when the `UserList` component first renders. This typically happens when: - The parent component hasn't passed `users` yet (common during async API calls) - `users` was initialized as `undefined` instead of an empty array `[]` - There's a typo in the prop name or it's conditionally omitted --- ### ✅ **How to Fix It** #### **Option 1: Use a Default Parameter (Recommended)** Give `users` a default empty array so `.map()` is always called on a valid array: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li ke…
    15.9s response1498 output tokens

    Code Review

    Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

    Here's a thinking process: 1. **Analyze the User Input:** - **Function:** `get_data(url, retries=3)` - **Purpose:** Fetches data from a URL, retries up to `retries` times if it fails, filters active items, and returns a list of dicts with `name` and `id`. - **Current Implementation Issues:** - Imports inside the function (`import requests`, `import time`) - bad practice. - Bare `except:` clause - catches everything, including `KeyboardInterrupt` and `SystemExit`, hides errors. - `time.sleep(2)` on both success (non-200) and failure - inefficient, especially on success. - `r.status_code == 200` - `requests` has `r.raise_for_status()` or `r.ok`, but checking expl…
    87.5s response4424 output tokens

    Compare these answers side by side with other models →

    Frequently asked questions

    How much does the qwen3.6-27b API cost?
    On FastMetal, qwen3.6-27b is billed per token: $0.3376 per 1M input tokens and $3.38 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
    Can I call qwen3.6-27b with the OpenAI SDK?
    Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "qwen3.6-27b" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
    What do I need to try qwen3.6-27b?
    Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

    Try qwen3.6-27b right now

    qwen3.6-27b is available on FastMetal through one API key. Start in the browser, or call it from the OpenAI SDK.