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Qwen3.7 Preview lands on Arena

Qwen3.7 Preview lands on Arena

AI Alibaba_Qwen
Alibaba's Qwen3.7 Preview models have landed on Arena, with the Max variant ranking 13th in text and the Plus variant 16th in vision.
What: Alibaba's Qwen3.7-Max-Preview model achieved 13th place overall in the Text Arena, while Qwen3.7-Plus-Preview ranked 16th in the Vision Arena. This positions Alibaba as the #6 lab in Text and #5 in Vision.
Why it matters: This reflects the ongoing competitive landscape in large language and vision models, with major tech companies like Alibaba continuing to push performance and introduce new iterations.
Decoder
  • Arena: A platform or benchmark where large language models are tested and ranked against each other, often through human preference or automated evaluation.
Original article

🚀🚀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

https://twitter.com/arena/status/2056400044862111757

🚀 Qwen3.5-397B-A17B is here: The first open-weight model in the Qwen3.5 series.

🖼️Native multimodal. Trained for real-world agents.

✨Powered by hybrid linear attention + sparse MoE and large-scale RL environment scaling.

⚡8.6x–19.0x decoding throughput vs Qwen3-Max

🌍201 languages & dialects

📜Apache2.0 licensed

🔗Dive in:

GitHub: github.com/QwenLM/Qwen3.5

Chat: chat.qwen.ai

API:modelstudio.console.alibabacloud.com/ap-southeast-1…

Qwen Code: github.com/QwenLM/qwen-co…

Hugging Face: huggingface.co/collections/Qw…

ModelScope: modelscope.cn/collections/Qw…

blog: qwen.ai/blog?id=qwen3.5

🎁 A New Year gift from Qwen — Qwen-Image-2512 is here.

🚀 Our December upgrade to Qwen-Image, just in time for the New Year.

✨ What’s new:

• More realistic humans — dramatically reduced “AI look,” richer facial details

• Finer natural textures — sharper landscapes, water, fur, and materials

• Stronger text rendering — better layout, higher accuracy in text–image composition

🏆 Tested in 10,000+ blind rounds on AI Arena, Qwen-Image-2512 ranks as the strongest open-source image model, while staying competitive with closed-source systems.

👉 Try it now in Qwen Chat: chat.qwen.ai/?inputFeature=…

🤗 Hugging Face:  huggingface.co/Qwen/Qwen-Imag…

📦 ModelScope:  modelscope.ai/models/Qwen/Qw…

💻 GitHub:  github.com/QwenLM/Qwen-Im…

📝 Blog:  qwen.ai/blog?id=qwen-i…

🤗 Hugging Face Demo: huggingface.co/spaces/Qwen/Qw…

📦 ModelScope Demo: modelscope.cn/aigc/imageGene…

✨API: modelstudio.console.alibabacloud.com/?tab=doc#/doc/…

🎆 Start the New Year with better images.

🚀 Qwen3-VL-30B-A3B-Instruct & Thinking are here!

Smaller size, same powerhouse performance 💪—packed with all the capabilities of Qwen3-VL!

🔧 With just 3B active params, it’s rivaling GPT-5-Mini & Claude4-Sonnet — and often beating them across STEM, VQA, OCR, Video, Agent tasks, and more.

And that’s not all: we’re also releasing an FP8 version, plus the FP8 of the massive Qwen3-VL-235B-A22B!

Try it out and make your multimodal AI applications run faster!🧠🖼️

Qwen Chat:   chat.qwen.ai/?models=qwen3-…

Github&Cookbooks:   github.com/QwenLM/Qwen3-V…

API:   alibabacloud.com/help/en/model-…

Blog:  qwen.ai/blog?id=99f033…

ModelScope:   modelscope.cn/collections/Qw…

HuggingFace:   huggingface.co/collections/Qw…

🚀 Introducing Qwen3-Omni — the first natively end-to-end omni-modal AI unifying text, image, audio & video in one model — no modality trade-offs!

🏆 SOTA on 22/36 audio & AV benchmarks

🌍 119L text / 19L speech in / 10L speech out

⚡ 211ms latency | 🎧 30-min audio understanding

🎨 Fully customizable via system prompts

🔗 Built-in tool calling

🎤 Open-source Captioner model (low-hallucination!)

🌟 What’s Open-Sourced?

We’ve open-sourced Qwen3-Omni-30B-A3B-Instruct, Qwen3-Omni-30B-A3B-Thinking, and Qwen3-Omni-30B-A3B-Captioner, to empower developers to explore a variety of applications from instruction-following to creative tasks.

Try it now 👇

💬 Qwen Chat: chat.qwen.ai/?models=qwen3-…

💻 GitHub: github.com/QwenLM/Qwen3-O…

🤗 HF Models: huggingface.co/collections/Qw…

🤖 MS Models:

modelscope.cn/collections/Qw…

🎬 Demo: huggingface.co/spaces/Qwen/Qw…

🚀 Introducing Qwen3-Next-80B-A3B — the FUTURE of efficient LLMs is here!

🔹 80B params, but only 3B activated per token → 10x cheaper training, 10x faster inference than Qwen3-32B.(esp. @ 32K+ context!)

🔹Hybrid Architecture: Gated DeltaNet + Gated Attention → best of speed & recall

🔹 Ultra-sparse MoE: 512 experts, 10 routed + 1 shared

🔹 Multi-Token Prediction → turbo-charged speculative decoding

🔹 Beats Qwen3-32B in perf, rivals Qwen3-235B in reasoning & long-context

🧠 Qwen3-Next-80B-A3B-Instruct approaches our 235B flagship.

🧠 Qwen3-Next-80B-A3B-Thinking outperforms Gemini-2.5-Flash-Thinking.

Try it now: chat.qwen.ai

Blog: qwen.ai/blog?id=4074cc…

Huggingface: huggingface.co/collections/Qw…

ModelScope: modelscope.cn/collections/Qw…

Kaggle: kaggle.com/models/qwen-lm…

Alibaba Cloud API: alibabacloud.com/help/en/model-…

🚀 Excited to introduce Qwen-Image-Edit!

Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing.

✨ Key Features

✅ Accurate text editing with bilingual support

✅ High-level semantic editing (e.g. object rotation, IP creation)

✅ Low-level appearance editing (e.g. addition/delete/insert)

Try it now: chat.qwen.ai/?inputFeature=…

Hugging Face: huggingface.co/Qwen/Qwen-Imag…

ModelScope: modelscope.cn/models/Qwen/Qw…

Blog: qwenlm.github.io/blog/qwen-imag…

Github: github.com/QwenLM/Qwen-Im…

API: alibabacloud.com/help/en/model-…

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