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

Visit Alibaba Cloud Compare vs other LLMs →

Hosted API price

Cheapest via EcoHash · per 1M tokens

USD

Input: $0.15 /1M
Output: $0.50 /1M
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-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	Cached input /1M	Cost at 10M in + 2M out	Link
EcoHash	$0.15	$0.50	$0.08	$2.50	Visit website
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 4060 Ti at about $94 a month.

That costs the same as roughly 449M tokens a month on EcoHash's API. Self-hosting is more expensive below that volume.

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	Break-even vs API
4-bit INT4 / FP4	9 GB26 GB	1× RTX 4060 Ti	$94$187	449M tokens /mo899M tokens /mo
8-bit FP8 / INT8	13 GB30 GB	1× RTX 4060 Ti	$94$374	449M tokens /mo2B tokens /mo
16-bit FP16 / BF16	24 GB58 GB	2× RTX 4060 Ti	$187$461	899M tokens /mo2B 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-VL-8B by blended rate, each at its own cheapest provider.

Models priced nearest Qwen3-VL-8B per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Qwen3-VL-8B
Llama 3.3 70B Meta	$0.175	$0.13	$0.40	128K	Dec 2023	−16%
Qwen3.5-27B Alibaba Cloud	$0.1863	$0.086	$0.688	262K		−11%
Hy3 Tencent	$0.198	$0.132	$0.528	262K		−5%
Ministral 3 14B Mistral	$0.20	$0.20	$0.20	256K		−4%
Qwen3.8-Flash Alibaba Cloud	$0.2033	$0.15	$0.47	1M		−2%
Qwen3-VL-8B This model Alibaba Cloud	$0.2083	$0.15	$0.50	262K
Qwen-MT-Turbo Alibaba Cloud	$0.215	$0.16	$0.49	16K		+3%
Command R 08-2024 Cohere	$0.225	$0.15	$0.60	128K	Jun 2024	+8%
GPT-4o Mini OpenAI	$0.225	$0.15	$0.60	128K	Oct 2023	+8%
MiniMax-M2.7 MiniMax	$0.225	$0.15	$0.60	205K		+8%
Mistral Small 4 Mistral	$0.225	$0.15	$0.60	256K		+8%

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.

Lyceum

NVIDIA H200 from $2.20/hr, B200 from $3.40/hr, B300 from $3.80/hr

Per-second billing with no minimum commitment or vendor lock-in

Scale to 8,000 GPUs over InfiniBand for distributed AI training

View Pricing

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?

Hosted, unless you push serious volume. EcoHash charges $0.15 in / $0.50 out per 1M tokens. The cheapest rental that fits is 1x RTX 4060 Ti at $94 a month, which costs the same as about 449M tokens a month on that API.

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 $94 a month on the cheapest rental that fits.