# Qwen 3.6 27B API

Alibaba's Qwen 3.6 27B, through an OpenAI-compatible API. 3 providers quote it now, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send qwen3.6-27b as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: qwen3.6-27b
- Maker: Alibaba
- Context window: 16.4K – 229.4K tokens
- Input price: $0.164 to $0.413 per million tokens
- Output price: $1.200 to $2.475 per million tokens
- Providers: 3 independent providers
- Regions: eu, eu-central, global

## Providers

- [SOKKAN](https://liquidinference.ai/providers/65502412-bcc7-4baa-9a9a-e20ea20a38d4.md): eu, $0.164 input and $1.200 output per million tokens, $0.164 cache read per million tokens, 131.1K tokens of context
- [Greenference](https://liquidinference.ai/providers/dfb068db-7c5c-4676-9f62-5cd86a642db3.md): eu-central, $0.172 input and $1.552 output per million tokens, $0.086 cache read per million tokens, 16.4K tokens of context
- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $0.413 input and $2.475 output per million tokens, $0.413 cache read per million tokens, 229.4K tokens of context

## Scores

- SimpleQA Verified: 15.9, #115 of 126

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-27b",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Qwen 3.6 27B?

Qwen 3.6 27B is a model from Alibaba.

### How much does Qwen 3.6 27B cost?

Offers now ask $0.164 to $0.413 per million input tokens and $1.200 to $2.475 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Qwen 3.6 27B?

The largest offer takes 229,376 input tokens. One job can generate up to 64,000 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Qwen 3.6 27B do?

Its providers list Vision, Video input, Reasoning budget, Reasoning effort, JSON object, JSON schema, Frequency penalty, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Qwen 3.6 27B support?

Text · Images · Video → Text.

### Which providers serve Qwen 3.6 27B?

3 independent providers quote it now, with 3 offers. The table above ranks them by the cost of a typical job.

### How do I call Qwen 3.6 27B?

Send "qwen3.6-27b" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Qwen 3.6 27B listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/qwen3.6-27b)
- [Qwen 3 14B](https://liquidinference.ai/models/qwen3-14b.md)
- [Qwen 3.8 27B](https://liquidinference.ai/models/qwen3.8-27b.md)
- [Qwen 3 5 4B](https://liquidinference.ai/models/qwen3-5-4b.md)
- [Qwen 3.5 9B](https://liquidinference.ai/models/qwen3.5-9b.md)
- [Qwen 2.5 7B Instruct](https://liquidinference.ai/models/qwen2.5-7b-instruct.md)
- [Qwen 3.6 35B a3b](https://liquidinference.ai/models/qwen3.6-35b-a3b.md)
- [Set up a client](https://liquidinference.ai/connect/qwen3.6-27b)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)