# Qwen 3.6 35B a3b API

Alibaba's Qwen 3.6 35B a3b, through an OpenAI-compatible API. 5 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 qwen3.6-35b-a3b 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: qwen3.6-35b-a3b
- Maker: Alibaba
- Context window: 131.1K · 262.1K tokens
- Input price: $0.043 to $0.150 per million tokens
- Output price: $0.125 to $0.900 per million tokens
- Providers: 5 independent providers
- Regions: asia, eu, global, us, us-west

## Providers

- [SOKKAN](https://liquidinference.ai/providers/65502412-bcc7-4baa-9a9a-e20ea20a38d4.md): eu, $0.043 input and $0.180 output per million tokens, $0.043 cache read per million tokens, 262.1K tokens of context
- [engy](https://liquidinference.ai/providers/dfb60c1c-bf13-4aed-aedf-d80cc249ba87.md): asia, $0.045 input and $0.300 output per million tokens, $0.015 cache read per million tokens, 131.1K tokens of context
- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $0.070 input and $0.420 output per million tokens, $0.035 cache read per million tokens, 131.1K tokens of context
- [akash](https://liquidinference.ai/providers/2249261a-b9e8-449c-8c79-abf2dc02dd91.md): us-west, $0.100 input and $0.900 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Pera](https://liquidinference.ai/providers/f651491e-f85b-4f03-b80c-32876aeb80ce.md): us, $0.150 input and $0.125 output per million tokens, $0.150 cache read per million tokens, $0.00083 fee for each request, 262.1K 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": "qwen3.6-35b-a3b",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Qwen 3.6 35B a3b?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does Qwen 3.6 35B a3b cost?

Offers now ask $0.043 to $0.150 per million input tokens and $0.125 to $0.900 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 35B a3b?

The largest offer takes 262,144 input tokens. One job can generate up to 262,144 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Qwen 3.6 35B a3b do?

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

### What inputs and outputs does Qwen 3.6 35B a3b support?

Text · Images → Text.

### Which providers serve Qwen 3.6 35B a3b?

5 independent providers quote it now, with 5 offers. The table above ranks them by the cost of a typical job.

### How do I call Qwen 3.6 35B a3b?

Send "qwen3.6-35b-a3b" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Qwen 3.6 35B a3b 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/qwen3.6-35b-a3b)
- [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 3.7 Flash:thinking](https://liquidinference.ai/models/qwen3.7-flash%3Athinking.md)
- [Set up a client](https://liquidinference.ai/connect/qwen3.6-35b-a3b)
- [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)