Qwen3-32B FP8

FP8-quantized version of the 32B dense Qwen3 model, with switching between reasoning and general dialogue modes.

Params: 32.8B
Context: 33K tokens
License: Apache 2.0

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Hosted API price

List price via Alibaba Cloud · per 1M tokens

USD

Input: $0.16 /1M
Output: $0.64 /1M
Cheapest: $0.10 / $0.30 via Lyceum
Hosted by: 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 Qwen3-32B FP8, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Qwen3-32B 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
Lyceum Cheapest	$0.10	$0.30	$1.60	Visit website
Alibaba Cloud Creator	$0.16	$0.64	$2.88	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

Qwen3-32B FP8 needs about 24 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 780M 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 Qwen3-32B 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	24 GB	2× RTX 4060 Ti	$187	780M tokens /mo
8-bit FP8 / INT8	39 GB	4× RTX 4060 Ti	$374	2B tokens /mo
16-bit FP16 / BF16	76 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 Qwen3-32B FP8 by blended rate, each at its own cheapest provider.

Models priced nearest Qwen3-32B FP8 per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-32B FP8
GPT-5 Nano OpenAI	$0.1083	$0.05	$0.40	400K	May 2024	−19%
Qwen3.5-35B-A3B Alibaba Cloud	$0.124	$0.057	$0.459	262K		−7%
Qwen3.6-35B-A3B Alibaba Cloud	$0.1283	$0.07	$0.42	262K		−4%
Gemma 3 27B Instruct Google Cloud	$0.1333	$0.10	$0.30	128K	Aug 2024	0%
Gemma 4 26B A4B Google Cloud	$0.1333	$0.10	$0.30	256K	Jan 2025	0%
Qwen3-32B FP8 This model Alibaba Cloud	$0.1333	$0.10	$0.30	33K
Gemini 2.5 Flash-Lite Google Cloud	$0.15	$0.10	$0.40	1M	Jan 2025	+13%
GPT-4.1 Nano OpenAI	$0.15	$0.10	$0.40	1M	Jun 2024	+13%
Ministral 3 8B Mistral	$0.15	$0.15	$0.15	256K		+13%
Qwen3.5-Flash Alibaba Cloud	$0.15	$0.10	$0.40	1M		+13%
Llama 3.2 11B Vision Meta	$0.1535	$0.049	$0.676	128K	Dec 2023	+15%

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.

Lium

Built for agents: CLI, SDK and MCP server. Your agent rents and runs GPUs itself.

A permissionless marketplace. 1000+ nodes from independent providers worldwide.

Hard to find nodes available; B200 and B300 Blackwell nodes listed now.

Consumer + DC grade cards for cheap. H100s from $1/hr, RTX 5090s from $0.35/hr.

View Pricing

Capabilities

What Qwen3-32B 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 Qwen3-32B FP8 good for?

Self-hosted reasoning and chat with a switch between thinking and non-thinking modes, covering over 100 languages, Alibaba says. Apache 2.0 weights, on a single high-memory GPU.

When is Qwen3-32B FP8 not a good fit?

Image, video or audio input: text only, with a short native context. It runs all 32B parameters on every token, unlike the 30B-A3B mixture of experts with 3B active, so each token takes more compute to serve.

What is the cheapest way to run Qwen3-32B FP8?

Hosted, unless you push serious volume. Alibaba Cloud charges $0.16 in / $0.64 out per 1M tokens. The cheapest rental that fits is 2x RTX 4060 Ti at $187 a month, which costs the same as about 780M tokens a month on that API.

Can I self-host Qwen3-32B FP8?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 24 GB of GPU memory, which starts at roughly $187 a month on the cheapest rental that fits.