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Llama 3 vs Mixtral

A side-by-side comparison of pricing, ratings, features, pros and cons.

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MixtralArxivFree
Overview
DescriptionLlama3 is a large language model developed by Meta AI. It is the successor to Meta's Llama2 language model. Online test address:huggingface.co/Meta-Llama-3-70B-InstructMixtral 8x7B, a high-quality sparse mixture of experts model (SMoE) with open weights. Mixtral outperforms Llama 2 70B on most benchmarks with 6x faster inference. It matches or outperforms GPT3.5 on most standard benchmarks. paper：https://arxiv.org/pdf/2401.04088.pdf news：https://mistral.ai/news/mixtral-of-experts/
Category
Developer—Arxiv
Verified StatusNoNo
Last UpdatedJul 2026Jul 2026
Pricing
Pricing ModelFreeFree
Free PlanYesYes
Open SourceNoNo
Capabilities
Tags
metallamalanguagemodelllama3large
mixtralexpertsoutperformsbenchmarkshttpsnews
Trust and Engagement
Review Count00
Saves00
Views54
Quality Score41/10041/100
Website StatusOnlineOnline
Availability
Websitehuggingface.coarxiv.org
ScreenshotsNoNo
Reviews
Pros
• Free to use
• Actively maintained
• Free to use
• Actively maintained
Cons
• Limited user reviews so far
• Limited user reviews so far

Alternatives to Consider

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Phi-3
Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
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DeepSeek-V3
A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
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Gemma 4
Gemma 4 is Google's latest open source large language model series, built on the Gemini architecture, offering improved performance, longer context windows, and better multilingual support.
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Frequently Asked Questions

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