Qwen3-30B-A3B FP8

FP8-quantized version of Qwen3-30B-A3B, a 30B MoE activating 3B parameters per token, with switchable thinking and non-thinking modes.

Params: 30.5B, 3.3B active
Context: 33K tokens
License: Apache 2.0

Visit Alibaba Cloud Compare vs other LLMs →

Hosted API price

List price via Alibaba Cloud · per 1M tokens

USD

Input: $0.20 /1M
Output: $0.80 /1M
Cheapest: $0.051 / $0.335 via Cloudflare
Hosted by: 3 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 Qwen3-30B-A3B FP8, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Qwen3-30B-A3B FP8, 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
Cloudflare Cheapest	$0.051	$0.335	$1.18	Visit website
Lyceum	$0.10	$0.30	$1.60	Visit website
Alibaba Cloud Creator	$0.20	$0.80	$3.60	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

Qwen3-30B-A3B FP8 needs about 20 GB of GPU memory at 4-bit with its full 32K context. The cheapest rental that fits is 2× RTX 4060 Ti at about $187 a month.

That costs the same as roughly 624M tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

What it costs to self-host Qwen3-30B-A3B FP8 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 (Full 32K context)	Cost /mo	Break-even vs API
4-bit INT4 / FP4	20 GB	2× RTX 4060 Ti	$187	624M tokens /mo
8-bit FP8 / INT8	36 GB	4× RTX 3060	$230	768M tokens /mo
16-bit FP16 / BF16	66 GB	8× RTX 3060	$461	2B 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 Qwen3-30B-A3B FP8 by blended rate, each at its own cheapest provider.

Models priced nearest Qwen3-30B-A3B FP8 per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-30B-A3B FP8
GPT-OSS-120B OpenAI	$0.0628	$0.039	$0.182	131K	Jun 2024	−36%
Nemotron 3 Nano 30B A3B Nvidia	$0.075	$0.05	$0.20	262K	Jun 2025	−24%
Llama 3 8B Meta	$0.0833	$0.05	$0.25	8K	Mar 2023	−15%
Qwen3-Coder-30B-A3B Alibaba Cloud	$0.0917	$0.06	$0.25	262K		−7%
Llama 3.2 3B Meta	$0.0983	$0.051	$0.335	128K	Dec 2023	0%
Qwen3-30B-A3B FP8 This model Alibaba Cloud	$0.0983	$0.051	$0.335	33K
Ministral 3 3B Mistral	$0.10	$0.10	$0.10	256K		+2%
GLM-5.3-Flash Z.AI	$0.1042	$0.075	$0.25	1M		+6%
GPT-5 Nano OpenAI	$0.1083	$0.05	$0.40	400K	May 2024	+10%
Qwen3.5-35B-A3B Alibaba Cloud	$0.124	$0.057	$0.459	262K		+26%
Qwen3.6-35B-A3B Alibaba Cloud	$0.1283	$0.07	$0.42	262K		+31%

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.

GPUhub

Fully Dedicated GPU Servers

No Virtualization. No Shared GPUs

Stable Performance for AI Training & Inference

Full Control for Production Workloads

Learn more

Capabilities

What Qwen3-30B-A3B FP8 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 Qwen3-30B-A3B FP8 good for?

Self-hosted assistant work on modest hardware, with switchable thinking and non-thinking modes. Apache 2.0 weights, a 30B mixture of experts with 3B active, on a single consumer GPU.

When is Qwen3-30B-A3B FP8 not a good fit?

Image, video or audio input: text only, and its native context limits long-document tasks.

What is the cheapest way to run Qwen3-30B-A3B FP8?

Hosted, unless you push serious volume. Alibaba Cloud charges $0.20 in / $0.80 out per 1M tokens. The cheapest rental that fits is 2x RTX 4060 Ti at $187 a month, which costs the same as about 624M tokens a month on that API.

Can I self-host Qwen3-30B-A3B FP8?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 20 GB of GPU memory, which starts at roughly $187 a month on the cheapest rental that fits.