Mixtral-8×7B-MoE-Instruct-v0.1
Mixtral-8×7B-MoE-Instruct-v0.1 is an AI model published by MistralAI, released on 2023-12-08, for Chat model, with 45B parameters, and 32K context length, requiring about 86.99GB storage, with a 74.40 score on GSM8K.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
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Benchmark Results
Mixtral-8×7B-MoE currently shows benchmark results led by GSM8K (27 / 70, score 74.40), MBPP (28 / 70, score 60.70), MMLU (72 / 124, score 70.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
Mixtral-8×7B-MoE-Instruct-v0.1 is an AI model published by MistralAI, released on 2023-12-08, for Chat model, with 45B parameters, and 32K context length, requiring about 86.99GB storage, with a 74.40 score on GSM8K.
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