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Mixtral vs Qwen3

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

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MixtralArxivFree
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Qwen3Free
Overview
DescriptionMixtral 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/Qwen3 is the large language model series developed by the Qwen team at Alibaba Cloud. Qwen3-2507 includes Instruct and Thinking variants with 235B-A22B, 30B-A3B, and 4B sizes, 256K long context, and 1M-token input support in some scenarios.
Category
DeveloperArxiv—
Verified StatusNoNo
Last UpdatedJul 2026Jul 2026
Pricing
Pricing ModelFreeFree
Free PlanYesYes
Open SourceNoNo
Capabilities
Tags
mixtralexpertsoutperformsbenchmarkshttpsnews
qwen3largelanguagemodelseriesdeveloped
Trust and Engagement
Review Count00
Saves00
Views48
Quality Score41/10045/100
Website StatusOnlineOnline
Availability
Websitearxiv.orggithub.com
Social Links—1 linked
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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DeepSeek-V4
DeepSeek's 4th generation flagship model. V4-Pro (1.6T MoE) and V4-Flash (284B MoE) featuring 1M context, native multimodality, and Hybrid Attention for extreme efficiency.
deepseekgenerationflagship
Free
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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.
modelslanguagesize
Free
⚡ 45
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Llama 3
Llama3 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-Instruct
metallamalanguage
Free
⚡ 41
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DeepSeek-V3
A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
deepseekstrongmixture
Free
⚡ 45

Frequently Asked Questions

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