Qwen3-VL-8B

A dense 8B Qwen3 vision-language model above the 4B and 2B sizes, suited to edge-to-cloud multimodal deployment.

Params: 8.8B
Context: 262K tokens
Max output: 66K
License: Apache 2.0

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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-VL-8B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Qwen3-VL-8B, 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-VL-8B needs about 9 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 5060 Ti at about $101 a month.

Fits on 1 Single node ≤ 8

What it costs to self-host Qwen3-VL-8B 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	9 GB26 GB	1× RTX 5060 Ti	$101$202
8-bit FP8 / INT8	13 GB30 GB	1× RTX 5060 Ti	$101$403
16-bit FP16 / BF16	24 GB58 GB	2× RTX 5060 Ti	$202$720

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. Pricing methodology.

Packet·ai

B200 @ $3.75/h on demand

No contract, no spot interrupts, no cluster minimums

Full root SSH, web dashboard, CI/CD ready

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Capabilities

What Qwen3-VL-8B 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.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Qwen3-VL-8B good for?

Image and video tasks on small hardware, from edge to cloud. A dense 8.8B model under Apache 2.0, on a single consumer GPU.

When is Qwen3-VL-8B not a good fit?

Audio input, image output or built-in web search. The 30B-A3B and 235B-A22B siblings are the larger sizes in the same series.

What is the cheapest way to run Qwen3-VL-8B?

No provider we track hosts it; self-hosting on the cheapest rental that fits (1x RTX 5060 Ti, $0.14 per hour) costs about $101 a month.

Can I self-host Qwen3-VL-8B?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 9 GB of GPU memory, which starts at roughly $101 a month on the cheapest rental that fits.