# Qwen3.6-Plus

> Alibaba multimodal reasoning model that pairs linear attention with sparse mixture-of-experts routing.

## Key facts

- Model author: Qwen
- Input: $0.50 per 1M tokens (starting tier)
- Output: $3.00 per 1M tokens (starting tier)
- Cached input: $0.05 per 1M tokens
- Context window: 1,000,000 tokens
- Maximum output: 64,000 tokens
- Input modalities: image, text, video
- Output modalities: text
- Capabilities: reasoning, structured_output, tools, vision
- Released: 2026-04-02
- Model IDs: `qwen/qwen3.6-plus`
- Model page: https://www.realrelay.ai/model/qwen/qwen3.6-plus

## Overview

Qwen3.6-Plus is a model from Alibaba's Qwen 3.6 series built on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing. Alibaba describes this design as enabling scalability and high-performance inference, and the model accepts image, text and video input.

It has a 1M-token context window and can generate up to 64,000 output tokens. It accepts text, image and video input and returns text. It was released on April 2, 2026.

## Capabilities

Qwen3.6-Plus supports tool calling, reasoning, structured output and vision. It accepts text, image and video input and returns text.

The model supports reasoning, tool calling, structured output and vision. Alibaba documents function calling that acts on image or video content, and structured output in non-thinking mode.

## Pricing

Pricing for Qwen3.6-Plus starts from $0.50 per 1M input tokens and $3.00 per 1M output tokens, with cache reads from $0.05 per 1M tokens. Pricing is tiered, so these figures are the starting tier. Qwen3.6-Plus is available through RealRelay's OpenAI-compatible API.

## Use cases

Use Qwen3.6-Plus for agents that reason over screenshots, photos or video and call tools to act, using the 1M-token context window to keep long histories in one request.

It also suits document and image understanding tasks that need structured results, such as turning product photos or screenshots into JSON that another program reads.

## Call it

OpenAI-compatible chat completions:

```bash
curl https://www.realrelay.ai/v1/chat/completions \
  -H "Authorization: Bearer $REALRELAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3.6-plus", "messages": [{"role": "user", "content": "Hello"}]}'
```

## FAQ

### What is Qwen3.6-Plus?

Qwen3.6-Plus is a model from Alibaba's Qwen 3.6 series built on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing.

### How much does Qwen3.6-Plus cost?

Pricing for Qwen3.6-Plus starts from $0.50 per 1M input tokens and $3.00 per 1M output tokens, with cache reads from $0.05 per 1M tokens. Pricing is tiered, so these figures are the starting tier.

### What is the context window of Qwen3.6-Plus?

Qwen3.6-Plus has a 1M-token context window and can generate up to 64,000 output tokens.

### What inputs and outputs does Qwen3.6-Plus support?

Qwen3.6-Plus accepts text, image and video input and returns text.

### Does Qwen3.6-Plus support tool calling?

Yes. Qwen3.6-Plus supports tool calling, reasoning, structured output and vision.

### When was Qwen3.6-Plus released?

Qwen3.6-Plus was released on April 2, 2026.

### How do I call Qwen3.6-Plus via the API?

Send requests to RealRelay's OpenAI-compatible API with the model ID qwen/qwen3.6-plus to use Qwen3.6-Plus.