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Qwen: Qwen3.5-122B-A10B

qwen/qwen3.5-122b-a10b

↓ runs free on your own hardware⚙ tool calling

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

specs & pricing
Type
text
Provider
qwen
Model ID
qwen/qwen3.5-122b-a10b
Capabilities
vision, tools, reasoning
Context window
262K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.29 / 1M tokens
Output price
$2.29 / 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

$2.57

$0.29 for a million input tokens plus $2.29 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: Qwen3.5-122B-A10B (122B parameters), for the weights alone — add room for the context cache.

Q4_K_M
~70.1 GBfits a 80 GB card
Q8_0
~121.2 GBmulti-GPU or large unified memory
FP16 / BF16
~228.0 GBmulti-GPU or large unified memory

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: Qwen3.5-122B-A10B 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: Qwen3.5-122B-A10B?
Qwen: Qwen3.5-122B-A10B accepts up to 262,144 tokens (262K) of context per request.
How much does Qwen: Qwen3.5-122B-A10B cost per million tokens?
Through Wide Area Intelligence, Qwen: Qwen3.5-122B-A10B costs $0.29 per 1M input tokens and $2.29 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $2.57.
Can I run Qwen: Qwen3.5-122B-A10B on my own hardware?
Yes — Qwen: Qwen3.5-122B-A10B is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 70.1 GB of GPU memory, plus room for the context cache — it fits a single 80 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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