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qwen3-next-80b-a3b-thinking

Alibaba (Qwen)/Open weights/1 provider

Qwen thinking-optimized 80B model designed for sustained multi-step reasoning, structured deliberation, and high-precision problem-solving across math, code, and complex planning tasks.More

Which id to call

nebius/qwen/qwen3-next-80b-a3b-thinking

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$0.15

Nebius AI

Context

128K

tokens

Endpoints

1

1 region

Regions

1

chat

Capabilities 3/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving qwen3-next-80b-a3b-thinking

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving qwen3-next-80b-a3b-thinking, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Nebius AIEU128K$0.15$1.20$0.15zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

nebius/qwen/qwen3-next-80b-a3b-thinking

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="nebius/qwen/qwen3-next-80b-a3b-thinking", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

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More from Alibaba (Qwen)

Reference

qwen3-next-80b-a3b-thinking questions

Which providers serve qwen3-next-80b-a3b-thinking?

qwen3-next-80b-a3b-thinking is available from 1 provider through Requesty: Nebius AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does qwen3-next-80b-a3b-thinking cost?

Pricing starts at $0.15 per million input tokens and $1.20 per million output tokens on Nebius AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is qwen3-next-80b-a3b-thinking open weights?

Yes. qwen3-next-80b-a3b-thinking is an open-weights model from Alibaba (Qwen), which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of qwen3-next-80b-a3b-thinking?

qwen3-next-80b-a3b-thinking supports up to 128K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use qwen3-next-80b-a3b-thinking with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nebius/qwen/qwen3-next-80b-a3b-thinking" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route qwen3-next-80b-a3b-thinking through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

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