What this page answers
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,...
- Mistral AI · mistralai/mixtral-8x22b-instruct
- text->text · global model route
- 65,536 context · $2 input
Before connecting
Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.
- supports frequency_penalty
- supports max_tokens
- supports presence_penalty
- supports response_format
- supports seed
Next action
The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.
- Check whether the model fits the use case
- Then verify key permission and callable models
