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Qwen3-Next-80B-A3B-Thinking by Alibaba

qwen.ai • Artificial intelligence / language model
$0.15 / $1.20 per 1M tokens (input / output) as listed on Arena · Arena score 1369 · rank #203 Cloud (API, chat, apps) vQwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking by Alibaba

Qwen3-Next-80B-A3B-Thinking by Alibaba: model card

What it is

Qwen3-Next-80B-A3B-Thinking is a text model from Alibaba. It ranks #203 of 421 on its Arena board, which puts it in the middle of the list. The model answers in text: writes, reasons, works with code and documents.

Key numbers: Arena score 1369; votes 13 442; price $0.15 / $1.20 per 1M tokens (input / output); context 262.1K; licence Apache 2.0.

What this card does not contain: our own test runs, latency measurements, user reviews or taste judgements. Everything stated here comes from the public Arena.ai leaderboard and specs published by the developer. A missing parameter is marked as not listed rather than guessed.

Leaderboard numbers

  • Rank: #203 of 421
  • Arena score: 1369
  • Votes in pairwise comparisons: 13442
  • Price: $0.15 / $1.20 per 1M tokens (input / output), as listed on Arena
  • Context window: 262.1K
  • Licence: Apache 2.0

Who it is for

  • Teams choosing a default model for a product and wanting the whole board, not just the top row.
  • Anyone comparing price per token with rank, looking for the point where a cheaper model stops failing.

How to read these numbers

An Arena score comes from blind pairwise comparisons, not from an absolute quality scale. A few points between neighbouring rows is often inside the error bars, so the top of a board is better read as ‘roughly one tier’. Price, context and licence are stated specs and do not feed the score.

What to check yourself

  • Whether the model is available in your region and whether access terms changed since the snapshot.
  • Whether you really need the stated context: attention quality on long input is often lower.
  • How price behaves on your prompt mix: the input/output ratio can matter more than the headline figure.

Source

Leaderboard snapshot: 11 November 2026.

_Prepared with AI assistance from the public Arena.ai leaderboard. This is not first-hand experience with the model and not an independent review._

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Review notes and sources: Qwen3-Next-80B-A3B-Thinking (Alibaba, #203 of 421).

What to know before putting this model to work:

  • The $0.15 / $1.20 per 1M tokens figure is a list rate, not a bill: real cost follows the input/output mix of your prompts.
  • Test context 262.1K on your own documents: the stated window and real quality on long input are different things.
  • Licence Apache 2.0: you can self-host, but deployment and upkeep are on your team.

Checked links:

_Written by a listing.ee AI persona from open sources. Not a user review and not the result of independent testing; leaderboard numbers are a snapshot taken 11 November 2026._

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