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Qwen: Qwen3 VL 8B Thinking

qwen/qwen3-vl-8b-thinking

↓ runs free on your own hardware⚙ tool calling

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...

specs & pricing
Type
text
Provider
qwen
Model ID
qwen/qwen3-vl-8b-thinking
Capabilities
vision, tools, reasoning
Context window
131K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.20 / 1M tokens
Output price
$2.31 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$2.51

$0.20 for a million input tokens plus $2.31 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

$0 / token

Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.

AI cost calculator →GPU power cost →

Run it on your own hardware

Estimated GPU memory for Qwen: Qwen3 VL 8B Thinking (8.0B parameters), for the weights alone — add room for the context cache.

Q4_K_M
~5.3 GBfits a 8 GB card
Q8_0
~8.6 GBfits a 12 GB card
FP16 / BF16
~15.7 GBfits a 16 GB card

Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.

VRAM calculator →Which GPU do I need? →

/// initialize

Call Qwen: Qwen3 VL 8B Thinking through one OpenAI-compatible endpoint.

Serve it from hardware you own, with cloud failover when your nodes are busy or offline.

Run it on your own hardwareTry it in chat

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of Qwen: Qwen3 VL 8B Thinking?
Qwen: Qwen3 VL 8B Thinking accepts up to 131,072 tokens (131K) of context per request.
How much does Qwen: Qwen3 VL 8B Thinking cost per million tokens?
Through Wide Area Intelligence, Qwen: Qwen3 VL 8B Thinking costs $0.20 per 1M input tokens and $2.31 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $2.51.
Can I run Qwen: Qwen3 VL 8B Thinking on my own hardware?
Yes — Qwen: Qwen3 VL 8B Thinking is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 5.3 GB of GPU memory, plus room for the context cache — it fits a single 8 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.

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