Mixtral

Model ● Covered in 4 stories Compare ⇄ + Follow

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Specifications

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Latest developments

Petals TLDR Dev · 1 week ago · 34

🚀 Accelerating LLM Inference with TGI on Intel Gaudi Hugging Face Blog · 1 year ago · 34

Improving Recommendation Systems & Search in the Age of LLMs Eugene Yan · 1 year ago · 33

Qwen1.5-MoE: Matching 7B Model Performance with 1/3 Activated Parameters Qwen · 2 years ago · 47

Timeline

Month Quarter Year

Q3 2026

23 Jul Petals

Q1 2025

Q1 2024

28 Mar Qwen1.5-MoE: Matching 7B Model Performance with 1/3 Activated Parameters

Relationships

Products & technology

Petals deploys this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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