Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
WizardLM-2 8x22B - Model - OpenSmartRoute
Modelv1.0.0
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…
Reference model card from the OpenRouter listing - model microsoft/wizardlm-2-8x22b. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
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...
Facts
Vendor
Microsoft
Context window
65,535 tokens
Max output
8,000 tokens
Input price
$0.62 / 1M tokens
Output price
$0.62 / 1M tokens
Input
text
Output
text
Tool calling
no
Structured outputs
yes
Reasoning
no
Open weights
microsoft/WizardLM-2-8x22B
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model microsoft/wizardlm-2-8x22b
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configurecurl-s-X POST https://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'# or pin it on the OpenAI-compatible endpoint: {"model": "model-microsoft-wizardlm-2-8x22b", ...}
Installed into a catalogue, chosen by a router
Install WizardLM-2 8x22B and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.