Qwen3-Next-80B-A3B Thinking
Reasoning variant of Qwen3-Next-80B-A3B with chain-of-thought, on the same hybrid attention architecture of 80B total, 3B active and 512 experts.
- Params
- 80B, 3B active
- Context
- 262K tokens
- Max output
- 66K
- License
- Apache 2.0
Hosted API price
List price via Alibaba Cloud · per 1M tokens
- Input
- $0.15 /1M
- Output
- $1.20 /1M
- Hosted by
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2 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Qwen3-Next-80B-A3B Thinking, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
|
$0.15 | $1.20 | $3.90 | Visit website |
|
|
$0.15 | $1.20 | $3.90 | Visit website |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Qwen3-Next-80B-A3B Thinking needs about 48 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 4× RTX 4060 Ti at about $374 a month.
That costs the same as roughly 1B tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 48 GB |
|
$374 | 1B tokens /mo |
| 8-bit FP8 / INT8 | 85 GB |
|
$461 | 1B tokens /mo |
| 16-bit FP16 / BF16 | 165 GB |
|
$1,440 | 4B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest Qwen3-Next-80B-A3B Thinking by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Qwen3-Next-80B-A3B Thinking |
|---|---|---|---|---|---|---|
|
|
$0.30 | $0.30 | $0.30 | 33K | −8% | |
|
|
$0.30 | $0.20 | $0.80 | 33K | −8% | |
|
|
$0.3153 | $0.172 | $1.032 | 262K | −3% | |
|
|
$0.3167 | $0.20 | $0.90 | 1M | −3% | |
|
|
$0.325 | $0.15 | $1.20 | 262K | 0% | |
|
|
$0.325 | $0.15 | $1.20 | 262K | ||
|
|
$0.3333 | $0.25 | $0.75 | 16K | +3% | |
|
|
$0.3333 | $0.25 | $0.75 | 33K | +3% | |
|
|
$0.3417 | $0.25 | $0.80 | 131K | +5% | |
|
|
$0.35 | $0.30 | $0.60 | 262K | +8% | |
|
|
$0.3667 | $0.20 | $1.20 | 1M | Feb 2026 | +13% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Qwen3-Next-80B-A3B Thinking accepts and can do, as published by Alibaba Cloud.
- Text Accepts and generates natural-language text.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
Common questions
What is Qwen3-Next-80B-A3B Thinking good for?
Multi-step reasoning with a chain of thought, which Alibaba recommends for highly complex tasks. Apache 2.0 weights, the same 80B mixture of experts with 3B active, on a single high-memory GPU.
When is Qwen3-Next-80B-A3B Thinking not a good fit?
Short requests that do not need a reasoning trace, since it runs in thinking mode only. No image or video input.
What is the cheapest way to run Qwen3-Next-80B-A3B Thinking?
Hosted, unless you push serious volume. Alibaba Cloud charges $0.15 in / $1.20 out per 1M tokens. The cheapest rental that fits is 4x RTX 4060 Ti at $374 a month, which costs the same as about 1B tokens a month on that API.
Can I self-host Qwen3-Next-80B-A3B Thinking?
Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 48 GB of GPU memory, which starts at roughly $374 a month on the cheapest rental that fits.
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