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Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

↓ runs free on your own hardware⚙ tool calling

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

specs & pricing
Type
text
Provider
qwen
Model ID
qwen/qwen3-30b-a3b-instruct-2507
Capabilities
tools
Context window
262K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.053 / 1M tokens
Output price
$0.21 / 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

$0.27

$0.053 for a million input tokens plus $0.21 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 30B A3B Instruct 2507 (30B parameters), for the weights alone — add room for the context cache.

Q4_K_M
~17.8 GBfits a 24 GB card
Q8_0
~30.4 GBfits a 32 GB card
FP16 / BF16
~56.6 GBfits a 80 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 30B A3B Instruct 2507 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 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 accepts up to 262,144 tokens (262K) of context per request.
How much does Qwen: Qwen3 30B A3B Instruct 2507 cost per million tokens?
Through Wide Area Intelligence, Qwen: Qwen3 30B A3B Instruct 2507 costs $0.053 per 1M input tokens and $0.21 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.27.
Can I run Qwen: Qwen3 30B A3B Instruct 2507 on my own hardware?
Yes — Qwen: Qwen3 30B A3B Instruct 2507 is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 17.8 GB of GPU memory, plus room for the context cache — it fits a single 24 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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