Qwen (@Alibaba_Qwen)
@Alibaba_Qwen
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We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face：
- ModelScope：
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👀 Seeing is just the beginning.
With Qwen-MM-Plugins, turn your favorite agent harness multimodal-native — read images, videos & documents, edit videos, work with 3D/CAD, and more.
From multimodal models → multimodal agents. 🚀
Watch it in action:
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Appreciate it! Now let's understand the world through the eyes of Qwen3.8. 🥳
Qwen3.8-Max ranks #2# in Vision Arena scoring 1,305.
Second only to Claude Fable 5 (High) which has only a 13pt lead.
Thanks for the recognition. We'll keep building! 🚀
Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4# on the Frontend Code Arena leaderboard with a score of 1,668!
With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts.
It also ranks high across all domains:
#2# in Consumer Product
#3# in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools
#4# in Data & Analytics
#5# Simulations
Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena.
Congrats to @Alibaba_Qwen on this huge release!
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📢Meet Qwen3.8-Max — 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! 🚀
📖 Blog:
✅ Qwen Studio:
⚡ API:
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Meet Qwen3.8-Max: A New Bar for Coding and Cowork.
Qwen3.8 is launching and going open-weight soon!🌐
With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.
You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.
Can't wait to hear what you build. Stay tuned! 🚀
Token Plan
international：
China：
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🚀🚀Qwen3.7 Preview lands on Arena ！
Here come Qwen3.7-Max-Preview & Qwen3.7-Plus-Preview. Alibaba now #6# lab in Text, #5# in Vision.⚡️⚡️
Can't wait to release Qwen3.7 series models！Stay tuned! @arena
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🚀Qwen3.6-Plus is on Nous Portal now and FREE for a limited time.
Hermes Agent, here we go!! ⚡️ @NousResearch
