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AQwen3 Next 80B A3B InstructOPEN

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces.

262KContext window · tokens
$0.09Input price · per M tokens
$1.1Output price · per M tokens
AlibabaProvider

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Benchmarks & performance

Independent benchmark scores for Qwen3 Next 80B A3B Instruct, measured by Artificial Analysis. Higher is better.

Math index66.3
GPQA73.8%
MMLU-Pro81.9%
Humanity's Last Exam7.6%
Long Context Reasoning52.7%
LiveCodeBench68.4%
AIME 202566.3%
IFBench39.7%
τ²-Bench21.6%
Terminal-Bench Hard7.6%
⚡ Speed122.9 tokens/sec
⏱ Latency0.65s to first token
💰 Blended price$0.35 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Qwen3 Next 80B A3B Instruct is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3 Next 80B A3B Instruct?

Qwen3 Next 80B A3B Instruct is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free.

Is Qwen3 Next 80B A3B Instruct free?

The weights are free and open — you can self-host Qwen3 Next 80B A3B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.09 per million input tokens and $1.1 per million output tokens.

What is Qwen3 Next 80B A3B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 73.8%, MMLU-Pro 81.9%, Humanity's Last Exam 7.6%, Long Context Reasoning 52.7%, LiveCodeBench 68.4%, AIME 2025 66.3%, IFBench 39.7%, τ²-Bench 21.6%, Terminal-Bench Hard 7.6%. It is particularly used for mathematical reasoning.

How fast is Qwen3 Next 80B A3B Instruct?

It generates about 122.9 tokens per second, with a median 0.65s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Qwen3 Next 80B A3B Instruct?

Yes. Qwen3 Next 80B A3B Instruct has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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