microsoft
WizardLM-2 8x22B
microsoft/wizardlm-2-8x22b
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...
- Type
- text
- Provider
- microsoft
- Model ID
- microsoft/wizardlm-2-8x22b
- Context window
- 66K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.68 / 1M tokens
- Output price
- $0.68 / 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
$1.36
$0.68 for a million input tokens plus $0.68 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.
Run it on your own hardware
Estimated GPU memory for WizardLM-2 8x22B (176B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~100.7 GBmulti-GPU or large unified memory
- Q8_0
- ~174.5 GBmulti-GPU or large unified memory
- FP16 / BF16
- ~328.6 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.
/// initialize
Call WizardLM-2 8x22B through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of WizardLM-2 8x22B?
- WizardLM-2 8x22B accepts up to 65,535 tokens (66K) of context per request.
- How much does WizardLM-2 8x22B cost per million tokens?
- Through Wide Area Intelligence, WizardLM-2 8x22B costs $0.68 per 1M input tokens and $0.68 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $1.36.
- Can I run WizardLM-2 8x22B on my own hardware?
- Yes — WizardLM-2 8x22B is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 100.7 GB of GPU memory, plus room for the context cache — more than a single 80 GB card, so plan for multiple GPUs or a large unified-memory machine. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.