HomeMixtral-8x7B-Instruct-v0.1
47B
Model parameter quantity
Mistral AI
Affiliated organization
Open Source
License Type
December 11, 2023
Release time
Model Introduction
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
3.7
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
5.0
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
2.5
Model comparison
Mixtral-8x7B-Instruct-v0.1 vs Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
Mixtral-8x7B-Instruct-v0.1 vs Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
Related model
Mistral-Large-Instruct-2411
Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities extending Mistral-Large-Instruct-2407 with better Long Context, Function Calling and System Prompt.
Mistral-Large-Instruct-2411
Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities extending Mistral-Large-Instruct-2407 with better Long Context, Function Calling and System Prompt.
Mistral-Small-Instruct-2409
With 22 billion parameters, Mistral Small v24.09 offers customers a convenient mid-point between Mistral NeMo 12B and Mistral Large 2, providing a cost-effective solution that can be deployed across various platforms and environments.
Mistral-Small-Instruct-2409
With 22 billion parameters, Mistral Small v24.09 offers customers a convenient mid-point between Mistral NeMo 12B and Mistral Large 2, providing a cost-effective solution that can be deployed across various platforms and environments.
Ministral-8B-Instruct-2410
The Ministral-8B-Instruct-2410 Language Model is an instruct fine-tuned model significantly outperforming existing models of similar size, released under the Mistral Research License.
Relevant documents
Zhipu Snaps Up Zhongke Jihe in Hundreds-of-Millions-Yuan Deal to Boost AI Infrastructure and Domestic Chip Compatibility
Zhipu has reportedly invested hundreds of millions of RMB to acquire AI infrastructure firm XCore Sigma, bolstering its foundational model engineering, domestic computing power adaptation, and inference optimization.XCore Sigma specializes in AI hete
Meta’s Rebel AI Leaks Internal Secrets, Boosting Security to Second-Highest Level
According to The Information, Meta recently experienced a critical "loss of control" incident involving an AI agent. An internal tool meant to assist with workflows inadvertently exposed sensitive company data and user information to unauthorized emp
Meituan CEO Wang Xing: AI Agents Hit Harder Than ChatGPT
During a management communication session on March 13, 2026, Meituan CEO Zhang Wang discussed the trajectory of artificial intelligence (AI). He argued that AI-driven transformation will surpass the impact of the entire Internet era. Drawing a metaph
Jensen Huang Reveals Nvidia’s ‘Brand New’ $200B Market Opportunity
Nvidia founder and CEO Jensen Huang stands out as one of the most compelling corporate visionaries, if not the greatest, in driving his company’s narrative. He may even eclipse Salesforce’s Marc Benioff in his unwavering optimism regarding the firm’s
Hugging Face in Talks for $13B Acquisition
Business Insider reported over the weekend that Hugging Face has been approached to sell at a valuation of $13 billion or more.The startup’s platform and open-source community is where developers and researchers share, find, test, and deploy AI model
