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We’re launching AI Spotlight, a new series diving into Qwen’s models and AI products. First up: Qwen3.8-Max and what makes it different. This is just the first; more videos are coming. Stay tuned! Until then, check it out on: Qwen Cloud: Model Studio: #AISpotlight# #Qwen3_8Max# #AlibabaCloud# #Multimodal# #AgenticAI#
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Qwen3.8-Max weights just dropped on Hugging Face! 2.4T total parameters, with 95B activated. A good oss AI day.
Qwen3.8 Max is getting open-sourced tomorrow and before it does I want to state my opinion on the model after rigorous use. Although I am a Qwen ambassador this is my full real opinion. The model from my experiences acts more like Opus than it does Sol, it's less programmatic and has more a expressive personality. On lower thinking modes (low, medium) this expressive-ness is very clear, it's more opinionated, moody, and definitely more likely to make irreversible mistakes. Qwen3.8 has been my daily driver for a couple weeks now and I want to say the output in omp is some of the best I've ever got, Qwen3.8 + OMP > GPT-5.6 Sol + Codex, this is a hard truth to straddle as I send hundreds of dollars/month to OpenAI for codex, but it's ability to hold this harness by the neck and work like a dog is truly unbelievable. it orchestrates sub-agents really well, and although a (very large) token burner it never disappoints. However, it still falls far behind in real-world developer experiences and definitely behind Sol/Fable in "out of the box" thinking. This thing is the biggest work horse model I've ever tested and can be set on a task to run for days without any interruptions (they really didn't lie there), to the point where it can spend hours doing extremely deep research on a indirect task. Also, dont use xhigh thinking, waste of tokens.
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Qwen3.8-Max ranked #1# globally on the Artificial Analysis Agentic Index, ahead of 25 other models. It is the first open-weight model at Max scale with gains across coding, work and long-horizon tasks. See what it can do: • Model Studio: • Qwen Cloud: #Qwen# #AlibabaCloud# #AI# #AgenticAI#
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Qwen3.8 Max by @Alibaba_Qwen is live on OpenRouter. The new flagship has 2.4T parameters (95B active) and is built for long-horizon coding, research, and multimodal agent work. Open weights are due next week, a first for a Qwen Max-class model.
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Qwen3.8 Max is now available in OpenCode Go
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Qwen3.8-max-preview just launched in our best Token Plan, yet. Access the latest Qwen, HappyHorse, DeepSeek, GLM models & more. Starting at $4/mo for new users. Get the plan and start building today.
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🚀 Qwen3.8-Max just got upgraded. Meet Qwen3.8-Max-0902! 2.4T parameters. 1M context tokens. Built for real world complexity. Further post trained on Coding&Cowork,Qwen3.8-Max-0902 now delivers stronger performance across complex enterprise tasks, scientific research, and long horizon workflows. Pricing per 1M tokens: · $2 input, $6 output. · $0.17 explicit cache hit, $0.25 implicit cache hit. Now live via API on QwenCloud. Come try it! API:
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😃Meet Qwen3.8-Max On Qwen Cloud — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all! 👏Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub: - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max!🚀 👇Try Qwen3.8-Max and get your API KEY on Qwen Cloud
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Meet Qwen3.8-Max: A New Bar for Coding and Cowork.
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