Qwen3.8-Flash-Next

Alibaba's open-weight preview of the architecture it says will underpin Qwen4: a 125B mixture-of-experts model with 6B active per token, under the Qwen Community 1.0 licence.

Params: 125B, 6B active
Context: 262K tokens
Max output: 131K
Released: Aug 2026
License: Qwen Community 1.0

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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 Qwen3.8-Flash-Next, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Qwen3.8-Flash-Next, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Alibaba Cloud Creator	Open weights, no hosted price			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

Qwen3.8-Flash-Next needs about 72 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3060 at about $403 a month.

Single node ≤ 8

What it costs to self-host Qwen3.8-Flash-Next at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 262K context)	Cost /mo
4-bit INT4 / FP4	72 GB77 GB	8× RTX 3060	$403$403
8-bit FP8 / INT8	128 GB133 GB	8× RTX 3090	$1,267$1,267
16-bit FP16 / BF16	253 GB258 GB	8× A40	$2,822$2,822

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. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

GPUhub

Fully Dedicated GPU Servers

No Virtualization. No Shared GPUs

Stable Performance for AI Training & Inference

Full Control for Production Workloads

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Capabilities

What Qwen3.8-Flash-Next accepts and can do, as published by Alibaba Cloud.

Text Accepts and generates natural-language text.
Image Accepts images as input alongside text.
Video Accepts video as input.
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 Qwen3.8-Flash-Next good for?

Text, image and video agent and coding work you run yourself, with thinking on by default and a reasoning effort setting. Qwen Community 1.0 weights, on a multi-GPU node.

When is Qwen3.8-Flash-Next not a good fit?

Audio input or image output, and there is no built-in web search, though a host or your own tool loop can add one. It takes a multi-GPU node, and Alibaba calls it an experimental preview, with the hosted Qwen3.8-Flash carrying the production features instead.

What is the cheapest way to run Qwen3.8-Flash-Next?

No provider we track hosts it; self-hosting on the cheapest rental that fits (8x RTX 3060, $0.56 per hour) costs about $403 a month.

Can I self-host Qwen3.8-Flash-Next?

Yes. The weights are Qwen Community 1.0 licensed. At 4-bit it needs about 72 GB of GPU memory, which starts at roughly $403 a month on the cheapest rental that fits.