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Qwen3 Next 80B A3B Thinking

AlibabaReleased Sep 11, 2025Open weights · Apache 2.0qwen3-next-80b-a3b-thinking

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Reasoning
yes
Knowledge cutoff
September 2025
Context
262K tokens
Max output
32k tokens
Input
text
API features
tools, structured outputs, JSON mode, seed, logprobs
Alibaba's API
yes

Read Oct 21, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from Alibaba · cutoff: aiknowledgecutoff.com

Lowest input, per M$0.15at Google
Lowest output, per M$1.20at Google
Gap between providers×1.0$1.35 to $1.35, input + output
Providers2serve this version

The cheapest host, Google, does not state its weights precision. Weights and context per host

Run it yourself

open weights, Apache 2.0 · fits 4 of the 6 workstations in our guideSelf-host guide ›
Parameters
80B
3B active per token (MoE)
Memory needed
48 GB
in INT4 · 96 GB in INT8
Smallest cloud setup
A100
80 GB · $1.19/h, about $869 a month
Worth it above
643M tokens
a month, against the cheapest API at $1.35 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)48 GBA100 · $1.19/hsmallest footprint, minor quality loss
INT8 (Q8)96 GB2× H100 · $4.30/hnear-lossless
FP16 (full)192 GB4× H100 · $8.60/hreference quality

At home: in INT4 it fits a Mac Studio M5 Ultra (96 GB unified), about $5,499 once, or $0.2092/h over 3 years, electricity aside; it pays for itself after about 4B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑Uptime 24hChecked
Googleprecision not stated · 256K ctx$0.15$1.20—100%Oct 21
Alibabaprecision not read: host terms · 128K ctx (256K) · 32K out$0.15$1.20—100%Oct 9

2 of 2 providers · prices per million tokens, read Oct 21, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
Googlenot stated by the host256Knot stated by the hostyesyesyes
Alibabanot read: host terms128K32Kyesnoyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Qwen3 Next 80B A3B Thinking spec sheet, field by field, with sources

Qwen3 Next 80B A3B Thinking spec sheetmaker-declared

What Alibaba declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
262,144 tokens
Parameters
81,324,862,720≈ 81.3B
Active experts
10 of 512 active per token
Weight precision
bfloat16
License
Apache 2.0 — open weights, permissivecurated · read 2026-09-07Scope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ September 2025 third-party estimate — not the maker's figurecurated
Modalities
text
Max output (official)
to verify
Release date
to verify≈ September 11, 2025 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
Qwen3NextForCausalLM
Layers
48
Vocabulary
151,936 tokens
Weights first published
September 9, 2025
Weights last updated
September 15, 2025

Qwen/Qwen3-Next-80B-A3B-Thinking · config.json @ e502dd4 · read 2026-10-08 · 6 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
Google$0.75$1.80$1.80
Alibaba$0.75$1.80$1.80

What each host bills for 1,000 requests of a representative job

Your own workload

    Other Alibaba models · all its models, hosts and history ›