Alibaba

Qwen3.6-27B

Text

Dense open-weight Qwen3.6 vision model for agentic coding; 256K context; OpenAI-compatible API

Input $0.60 / 1M tokens | Output $3.60 / 1M tokens Qwen3.6-27B API reference →
Model health Insufficient data
runapi.ai
# Base URL
https://runapi.ai

# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/qwen3.6-27b:generateContent
POST /v1beta/models/qwen3.6-27b:streamGenerateContent
curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen3.6-27b",
  "messages": [
    {
      "role": "user",
      "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."
    }
  ]
}'
from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="qwen3.6-27b",
    messages=[{"role": "user", "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."}]
)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "qwen3.6-27b",
  messages: [{ role: "user", content: "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it." }]
});
https://runapi.ai 5 endpoints
OVERVIEW

What Qwen3.6-27B is built for

Qwen3.6-27B is a dense native vision-language model from Alibaba Qwen, released with open weights under Apache 2.0 on April 22, 2026. It is built on Qwen3.5-27B. Qwen reports flagship-level agentic coding that surpasses Qwen3.5-397B-A17B, plus stronger STEM reasoning, spatial intelligence, OCR, and video understanding.

It has thinking and non-thinking modes and adds a mechanism Qwen calls Thinking Preservation. The context window is 262,144 tokens, with up to 65,536 output tokens. Alibaba lists function calling and structured outputs as supported.

On RunAPI, call qwen3.6-27b through the OpenAI-compatible Chat Completions endpoint (/v1/chat/completions) with an OpenAI SDK pointed at https://runapi.ai/v1. Images go in image_url parts inside messages[].content[], and tools use the standard OpenAI tools format.

Model ID
qwen3.6-27b
Released
April 22, 2026
Architecture
Dense, 27B parameters, Apache 2.0 weights
Context window
262,144 tokens
Max output
65,536 tokens
Thinking
Hybrid (thinking and non-thinking modes)
Endpoint on RunAPI
OpenAI Chat Completions, text and image input
Playground

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Estimated: Input $0.60 / 1M tokens | Output $3.60 / 1M tokens

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Specifications

Technical details

Provider Alibaba
Model ID qwen3.6-27b
Modality Text
Task types Synchronous
API endpoint /v1/chat/completions
/v1/responses
/v1/messages
/v1beta/models/qwen3.6-27b:generateContent
/v1beta/models/qwen3.6-27b:streamGenerateContent
Billing unit 1K tokens
Catalog status Operational
HOW IT WORKS

Use This Model in 3 Steps

  1. Get Your Key

    Sign up for free and create an API key for qwen3.6-27b from the dashboard.

  2. Send a Request

    POST to /v1/chat/completions with the qwen3.6-27b model slug and your parameters.

  3. Get Results

    Read the completed qwen3.6-27b response directly from the endpoint.

What this model offers

Endpoint coverage

Exposes 1 public endpoint(s): chat_completion.

Usage-based billing

Metered by 1K tokens with no subscription requirement.

Qwen3.6-27B Pricing

Endpoint
Price
chat_completion
Input: $0.60 / 1M tokens Output: $3.60 / 1M tokens
API REFERENCE

Endpoint Specification

Endpoint
POST /v1/chat/completions
Model ID
qwen3.6-27b
Task Types
chat_completion

Request parameters

No request parameters are published for this endpoint.

USE CASES

Customer support

Answer customer questions from a private knowledge base, reducing ticket volume.

Document analysis

Draft contract summaries and flag key clauses for attorney review.

Code generation

Auto-generate unit tests, code reviews, and refactoring suggestions in CI.

Usage metrics

Trusted by developers
6
API Calls / Day
100.0%
Success Rate
7.9s
Avg Generation

Verified customer feedback is not available for this model yet.

FAQ

Frequently asked questions about Qwen3.6-27B

How does Qwen3.6-27B compare with Qwen3.5-397B-A17B?

Qwen reports that the 27B dense model surpasses the Qwen3.5 flagship in agentic coding. Both have a 262,144-token context window and accept images. Compare them on your own coding tasks before you switch.

Should I use Qwen3.6-27B or Qwen3.6-35B-A3B?

Qwen3.6-27B is dense, so all 27B parameters run for every token. Qwen3.6-35B-A3B is a Mixture-of-Experts model that activates 3B parameters per token. Qwen positions the 27B model for flagship-level agentic coding.

What improved from Qwen3.5-27B?

Qwen3.6-27B is built on Qwen3.5-27B. Qwen reports better agentic coding, STEM reasoning, spatial intelligence, OCR, and video understanding.

Does Qwen3.6-27B support tool calling on RunAPI?

Yes. Alibaba lists function calling as supported. Send tools in the OpenAI format on Chat Completions and the model returns tool_calls.

How do I select qwen3.6-27b?

Pass the model ID shown in the quickstart.

What's the rate limit on this variant?

Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.

Can I switch variants later?

Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.

Does it stream?

Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.

Where do I report quality issues?

Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.

Do I need a separate provider account?

No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.

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