Mixtral 8x22B Instruct
Mixtral 8x22B Instruct is a sparse mixture-of-experts text generation model from Mistral with a 64,000 token context window.
DeepInfraSparse mixture-of-experts text generation from Mistral
Mixtral 8x22B Instruct is a text generation model developed by Mistral AI, built on a sparse Mixture-of-Experts (SMoE) architecture. The model has 141 billion total parameters but activates only 39 billion per token during inference, which reduces compute requirements relative to its total parameter count. It was released in April 2024 and is designed for instruction-following tasks across a range of domains including coding, reasoning, and multilingual text.
The instruct variant is fine-tuned to follow user instructions and is suited for tasks such as question answering, summarization, code generation, and multi-turn conversation. Its 64,000 token context window allows it to process long documents or extended conversations in a single pass. The model is available as an open-weight release under the Apache 2.0 license, and on MindStudio it is served via DeepInfra.
What Mixtral 8x22B Instruct supports
Long Context Window
Processes up to 64,000 tokens in a single pass, enabling analysis of long documents or extended multi-turn conversations without truncation.
Instruction Following
Fine-tuned to respond to user instructions across tasks such as summarization, Q&A, and structured output generation.
Code Generation
Generates and explains code across multiple programming languages, a well-documented capability of the Mixtral 8x22B model family.
Multilingual Text
Supports text generation in multiple languages including English, French, Italian, German, and Spanish.
Sparse MoE Architecture
Uses a Mixture-of-Experts design that activates 39B out of 141B total parameters per token, reducing active compute per inference step.
Mathematical Reasoning
Handles mathematical problem-solving tasks, a capability highlighted in Mistral's official release benchmarks for this model.
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Get Started FreeCommon questions about Mixtral 8x22B Instruct
What is the context window for Mixtral 8x22B Instruct?
The model supports a context window of 64,000 tokens, and the maximum response size is also 64,000 tokens.
How many parameters does Mixtral 8x22B Instruct have?
The model has 141 billion total parameters but uses a sparse Mixture-of-Experts design that activates only 39 billion parameters per token during inference.
What is the pricing for using Mixtral 8x22B Instruct on MindStudio?
Pricing information is not published in the available metadata. You can check MindStudio's pricing page or the DeepInfra provider page for current rates.
What is the knowledge cutoff date for this model?
A specific knowledge cutoff date is not listed in the available metadata. Mistral's official release materials are the best source for this information.
Is Mixtral 8x22B Instruct an open-weight model?
Yes, Mistral released the Mixtral 8x22B model weights under the Apache 2.0 license, making them freely available for download and use.
What is the current status of this model on MindStudio?
Mixtral 8x22B Instruct is currently marked as deprecated on MindStudio, which may affect its availability for new projects.
Parameters & options
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