# Qwen 3 Next 80B a3b Instruct API

Alibaba's Qwen 3 Next 80B a3b Instruct, through an OpenAI-compatible API. Providers quote it on an open exchange, 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-next-80b-a3b-instruct 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-next-80b-a3b-instruct
- Maker: Alibaba
- Context window: 262.1K tokens
- Input price: $0.090 per million tokens
- Output price: $1.098 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.090 input and $1.098 output per million tokens, $0.090 cache read per million tokens, 262.1K tokens of context

## Scores

- HLE: 7.6, #173 of 273
- GPQA: 73.8, #140 of 250
- AA-LCR: 52.7, #154 of 237
- Terminal-Bench Hard: 7.6, #128 of 166
- LiveCodeBench: 68.4, #29 of 130
- AIME 2025: 66.3, #37 of 100
- MMLU-Pro: 81.9, #36 of 133
- τ²-Bench: 21.6, #150 of 169
- IFBench: 39.7, #123 of 178

Scores: Artificial Analysis (https://artificialanalysis.ai/)

## 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-next-80b-a3b-instruct",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Qwen 3 Next 80B a3b Instruct?

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

### How much does Qwen 3 Next 80B a3b Instruct cost?

Offers now ask $0.090 per million input tokens and $1.098 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 Next 80B a3b Instruct?

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

### What can Qwen 3 Next 80B a3b Instruct do?

Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, 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 Next 80B a3b Instruct support?

Text → Text.

### Which providers serve Qwen 3 Next 80B a3b Instruct?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Qwen 3 Next 80B a3b Instruct?

Send "qwen3-next-80b-a3b-instruct" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Qwen 3 Next 80B a3b Instruct 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-next-80b-a3b-instruct)
- [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-next-80b-a3b-instruct)
- [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)