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.
Mixtral 8x22B Instruct - Model - OpenSmartRoute
Modelv1.0.0
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
Reference model card from the OpenRouter listing - model mistralai/mixtral-8x22b-instruct. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Facts
Vendor
Mistral AI
Context window
65,536 tokens
Max output
52,428 tokens
Input price
$2.00 / 1M tokens
Output price
$6.00 / 1M tokens
Input
text, file
Output
text
Tool calling
yes
Structured outputs
yes
Reasoning
no
Open weights
mistralai/Mixtral-8x22B-Instruct-v0.1
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model mistralai/mixtral-8x22b-instruct
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-mistralai-mixtral-8x22b-instruct", ...}
Installed into a catalogue, chosen by a router
Install Mixtral 8x22B Instruct 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.
