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🍽️ Dinner plans? All sorted with Qwen! Qwen App makes booking meals feel effortless. Just drop a quick voice or text command, and it takes over, checking restaurant details, confirming availability, and securing your reservation, all in one easy, seamless chat. Sit back and let Qwen handle the rest!

Alibaba Group

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159,243 просмотров • 8 месяцев назад •via X (Twitter)

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Which AI model actually fits the job? You won't know until you experiment. The Alibaba Cloud Token Plan makes it easier to try, test and compare, with: · One credit pool across Qwen, Wan, HappyHorse, DeepSeek and GLM · Text, audio, image and video capabilities · Clearer visibility into your AI usage And it’s easy to start, with your first month priced at just $4. Explore the Token Plans: #AlibabaCloud #TokenPlan #Qwen #Wan #HappyHorse #DeepSeek #GLM #MultiModelAI #GenerativeAI #AIWorkflow

Which AI model actually fits the job? You won't know until you experiment. The Alibaba Cloud Token Plan makes it easier to try, test and compare, with: · One credit pool across Qwen, Wan, HappyHorse, DeepSeek and GLM · Text, audio, image and video capabilities · Clearer visibility into your AI usage And it’s easy to start, with your first month priced at just $4. Explore the Token Plans: #AlibabaCloud #TokenPlan #Qwen #Wan #HappyHorse #DeepSeek #GLM #MultiModelAI #GenerativeAI #AIWorkflow

Alibaba Cloud

24,201 просмотров • 2 месяцев назад

After a few weeks of phased testing, Deep Research on Qwen Chat is now live and available for everyone ! 🎉 Here's how to use it: Just ask something you're curious about — like "Tell me something about robotics." Qwen will then ask you to narrow it down — maybe history, theory, or real-world applications. You can pick one, or just say "Not sure… Surprise me!" 😄 Then, while you grab a coffee ☕ or take a quick break, Qwen will put together a clear, helpful report just for you. AI is getting better every day, and Qwen is here to help make your life a little easier — whether it’s for work, learning, or just satisfying your curiosity. Why not give it a try? You might find something cool! 💡 🔗：

After a few weeks of phased testing, Deep Research on Qwen Chat is now live and available for everyone ! 🎉 Here's how to use it: Just ask something you're curious about — like "Tell me something about robotics." Qwen will then ask you to narrow it down — maybe history, theory, or real-world applications. You can pick one, or just say "Not sure… Surprise me!" 😄 Then, while you grab a coffee ☕ or take a quick break, Qwen will put together a clear, helpful report just for you. AI is getting better every day, and Qwen is here to help make your life a little easier — whether it’s for work, learning, or just satisfying your curiosity. Why not give it a try? You might find something cool! 💡 🔗：

Qwen

102,791 просмотров • 1 год назад

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

Qwen

215,564 просмотров • 1 год назад

Alright guys, wow. Qwen 3.8 27B is basically Qwen 4. What we have here is one of the best one-shot shark survival games I've made with any model. I ran this same prompt through fable, and the biggest thing all models struggle with in this test is the top-down view of the sharks. Fable even had all of the fins reversed and details jumbled on the first turn. Before now, it was really a 2 to 8 turn test to get something final regardless of model. Qwen 3.8 27B just nailed this in one output, no harness at all, just purely the model thoroughly thinking before outputting the final result. On every asset used, different shark variants, everything, it all looks incredibly tight. The boat movement, shark speed and engagement, everything is so much better than I expected, and I was expecting a lot. Imagine what 8 turns would do in a harness? This confirms to me that while Qwen 3.8 27B thinks a lot, for the first time in a local model on the base weights, IT MIGHT ACTUALLY BE WORTH IT This is a Frontier Lab model result, and it ran on my 5090 at 60tps in Q5_K_M. I am just in complete astoundment at what Qwen has accomplished here, and I am incredibly grateful that this model is open source. The speed will also increase drastically with optimisations. This is just an incredible day. What a blessing. More to come!

Alright guys, wow. Qwen 3.8 27B is basically Qwen 4. What we have here is one of the best one-shot shark survival games I've made with any model. I ran this same prompt through fable, and the biggest thing all models struggle with in this test is the top-down view of the sharks. Fable even had all of the fins reversed and details jumbled on the first turn. Before now, it was really a 2 to 8 turn test to get something final regardless of model. Qwen 3.8 27B just nailed this in one output, no harness at all, just purely the model thoroughly thinking before outputting the final result. On every asset used, different shark variants, everything, it all looks incredibly tight. The boat movement, shark speed and engagement, everything is so much better than I expected, and I was expecting a lot. Imagine what 8 turns would do in a harness? This confirms to me that while Qwen 3.8 27B thinks a lot, for the first time in a local model on the base weights, IT MIGHT ACTUALLY BE WORTH IT This is a Frontier Lab model result, and it ran on my 5090 at 60tps in Q5_K_M. I am just in complete astoundment at what Qwen has accomplished here, and I am incredibly grateful that this model is open source. The speed will also increase drastically with optimisations. This is just an incredible day. What a blessing. More to come!

Kyle Hessling

24,917 просмотров • 1 месяц назад

Image to Edit ✏️ With Image to Edit, you can simply draw over any part of your app and describe the changes you want—just like sketching on paper. Whether you're refining layouts, making precise tweaks, or redesigning your app, this hands-on approach makes editing feel effortless and intuitive. No more frustration and guesswork. Just draw, prompt, and let Alchemist AI handle the rest. 🪄✨

Image to Edit ✏️ With Image to Edit, you can simply draw over any part of your app and describe the changes you want—just like sketching on paper. Whether you're refining layouts, making precise tweaks, or redesigning your app, this hands-on approach makes editing feel effortless and intuitive. No more frustration and guesswork. Just draw, prompt, and let Alchemist AI handle the rest. 🪄✨

ALCHEMIST AI 🔮

17,793 просмотров • 1 год назад

It’s been a month since China’s BOBA-POCALYPSE, when Alibaba’s Qwen app turned “buy me a boba” into milk tea appearing on your doorstep. One-sentence ordering plus a promo that dropped drinks as low as RMB 0.01 sent boba shops and delivery platforms into chaos (see video below) and put Qwen top of mind for a lot of consumers. Alibaba says users placed nearly 200 million orders through the one-sentence ordering flow over the holiday. That’s a lot of intent converted into commerce, and it helps explain why Alibaba wants the agent to live somewhere beyond your phone. Next step: wearables. Qwen is expanding into smart glasses (shown at Mobile World Congress, with pre-orders opening March 2), plus earbuds and a ring aimed at global markets. The logic is simple. Wearables are shortcuts. They let Qwen catch you mid-thought and route you straight into Alibaba’s rails: Alipay for payments, Amap for navigation, and Taobao for commerce.

It’s been a month since China’s BOBA-POCALYPSE, when Alibaba’s Qwen app turned “buy me a boba” into milk tea appearing on your doorstep. One-sentence ordering plus a promo that dropped drinks as low as RMB 0.01 sent boba shops and delivery platforms into chaos (see video below) and put Qwen top of mind for a lot of consumers. Alibaba says users placed nearly 200 million orders through the one-sentence ordering flow over the holiday. That’s a lot of intent converted into commerce, and it helps explain why Alibaba wants the agent to live somewhere beyond your phone. Next step: wearables. Qwen is expanding into smart glasses (shown at Mobile World Congress, with pre-orders opening March 2), plus earbuds and a ring aimed at global markets. The logic is simple. Wearables are shortcuts. They let Qwen catch you mid-thought and route you straight into Alibaba’s rails: Alipay for payments, Amap for navigation, and Taobao for commerce.

Tech Buzz China

41,664 просмотров • 6 месяцев назад

China has a new frontier lab, and it's Tongyi ("all in one"). in case you were wondering why Junyang Lin was in such a mad dash to ship so many models, including the monster 1T param Qwen-Max, it's because the Alibaba Cloud conference just happened and they laid out their entire AI roadmap for us. Here are clips of Ali's CEO and CTO telling us where Qwen is heading next with a $52B war chest!

China has a new frontier lab, and it's Tongyi ("all in one"). in case you were wondering why Junyang Lin was in such a mad dash to ship so many models, including the monster 1T param Qwen-Max, it's because the Alibaba Cloud conference just happened and they laid out their entire AI roadmap for us. Here are clips of Ali's CEO and CTO telling us where Qwen is heading next with a $52B war chest!

swyx

107,210 просмотров • 1 год назад

👉🏻 🎉🚀 Qwen is back with something new! We've just rolled out Qwen Chat v0.2 after two weeks of hard work, and it's packed with awesome new features! 🌟 Now you can explore web search , create stunning videos, and generate amazing images – all in one place! ✨ Combine that with our existing powers like artifacts, image understanding, and document comprehension, and you've got the ultimate tool for both work and play! 💼📱 Ready to supercharge your daily routine? Let’s make life easier and more fun together! 🎮🔍🎨 Oh, this is not an end, we still have a lot for the Chinese spring festival! Stay tuned!

👉🏻 🎉🚀 Qwen is back with something new! We've just rolled out Qwen Chat v0.2 after two weeks of hard work, and it's packed with awesome new features! 🌟 Now you can explore web search , create stunning videos, and generate amazing images – all in one place! ✨ Combine that with our existing powers like artifacts, image understanding, and document comprehension, and you've got the ultimate tool for both work and play! 💼📱 Ready to supercharge your daily routine? Let’s make life easier and more fun together! 🎮🔍🎨 Oh, this is not an end, we still have a lot for the Chinese spring festival! Stay tuned!

Qwen

183,905 просмотров • 1 год назад

After an all-nighter, we got the first app working with Omagrid: OpenCode. Just boot into Omarchy. DeepSeek + Qwen are already there for all your apps and agents. It’s that simple. Want early access? DM me! PS: Omagrid is a P2P network. More Omarchy machines, more models.

After an all-nighter, we got the first app working with Omagrid: OpenCode. Just boot into Omarchy. DeepSeek + Qwen are already there for all your apps and agents. It’s that simple. Want early access? DM me! PS: Omagrid is a P2P network. More Omarchy machines, more models.

Dee

126,292 просмотров • 22 дней назад

🚀 New update for the Grafilab AI ecosystem! We’ve just updated new frontier models in our Playground and Unified API, including the highly anticipated models by DeepSeek and Qwen families! 🧠⚡ But that’s not all… you can now run Side-by-Side Model Comparisons directly in the Grafilab Playground! 🥊 Compare outputs from Gemini, DeepSeek, Qwen, and more in real-time, on the exact same prompt, with zero code. Find the perfect model for your workload instantly. Try it out now:

🚀 New update for the Grafilab AI ecosystem! We’ve just updated new frontier models in our Playground and Unified API, including the highly anticipated models by DeepSeek and Qwen families! 🧠⚡ But that’s not all… you can now run Side-by-Side Model Comparisons directly in the Grafilab Playground! 🥊 Compare outputs from Gemini, DeepSeek, Qwen, and more in real-time, on the exact same prompt, with zero code. Find the perfect model for your workload instantly. Try it out now:

Grafilab - Unleash AI

805,542 просмотров • 3 месяцев назад

Parameter scaling just broke in front of me. I gave 90 math problems as images to 10 local vision models, 3 runs each, only consistent answers across all 3 runs counted. Two findings: > Gemma 4 was the most consistent family, 31B took the crown at 89.6%. > But Qwen 3.5 4B came 2 answers behind it. A 4B. Ranked 2nd out of 10. Vision-math isn't one skill, it's two: reading the image, then solving it. The real lesson for anyone running local: small ≠ weak. If you're building agentic workflows, finding the right model for each task matters more than reaching for the biggest one. In this test, the 4B ran far faster because of its size, scored higher, and left VRAM free for the rest of your stack. Full results: 🥇 Gemma 4 31B — 242/270 (89.6%) 🥈 Qwen 3.5 4B — 240/270 (88.9%) 🥉 Gemma 4 E4B — 222/270 (82.2%) 🥉 Qwen 3.6 27B — 222/270 (82.2%) 5. Gemma 4 26B A4B — 216/270 (80.0%) 6. Qwen 3.5 2B — 201/270 (74.4%) 7. Gemma 4 E2B — 192/270 (71.1%) 8. Qwen 3.6 35B A3B — 192/270 (71.1%) 9. Qwen 3.5 9B — 168/270 (62.2%) 10. Qwen 3.5 0.8B — 45/270 (16.7%) All GGUF + mmproj, Unsloth's Q6_K_XL quant.

Parameter scaling just broke in front of me. I gave 90 math problems as images to 10 local vision models, 3 runs each, only consistent answers across all 3 runs counted. Two findings: > Gemma 4 was the most consistent family, 31B took the crown at 89.6%. > But Qwen 3.5 4B came 2 answers behind it. A 4B. Ranked 2nd out of 10. Vision-math isn't one skill, it's two: reading the image, then solving it. The real lesson for anyone running local: small ≠ weak. If you're building agentic workflows, finding the right model for each task matters more than reaching for the biggest one. In this test, the 4B ran far faster because of its size, scored higher, and left VRAM free for the rest of your stack. Full results: 🥇 Gemma 4 31B — 242/270 (89.6%) 🥈 Qwen 3.5 4B — 240/270 (88.9%) 🥉 Gemma 4 E4B — 222/270 (82.2%) 🥉 Qwen 3.6 27B — 222/270 (82.2%) 5. Gemma 4 26B A4B — 216/270 (80.0%) 6. Qwen 3.5 2B — 201/270 (74.4%) 7. Gemma 4 E2B — 192/270 (71.1%) 8. Qwen 3.6 35B A3B — 192/270 (71.1%) 9. Qwen 3.5 9B — 168/270 (62.2%) 10. Qwen 3.5 0.8B — 45/270 (16.7%) All GGUF + mmproj, Unsloth's Q6_K_XL quant.

stevibe

22,882 просмотров • 4 месяцев назад

What’s up with all these restaurant meltdowns lately? This one’s at a Denny’s - something set this woman off and she’s tearing through the place, throwing items, until security or an officer finally steps in and takes her down. People are losing it in public over less and less these days, and it’s turning ordinary meals into full-blown scenes. Would you just sit back and watch it play out, or step in before someone gets hurt?

What’s up with all these restaurant meltdowns lately? This one’s at a Denny’s - something set this woman off and she’s tearing through the place, throwing items, until security or an officer finally steps in and takes her down. People are losing it in public over less and less these days, and it’s turning ordinary meals into full-blown scenes. Would you just sit back and watch it play out, or step in before someone gets hurt?

Tony Lane 🇺🇸

15,561 просмотров • 1 месяц назад

GROK CHAT AND VOICE ON DEMAND – DOUBLE THE POWER, ONE TAP, READY TO GO Turn your Home Screen into a Grok command center. Speed Doubled Up: • Add the chat widget for fast text queries • Add the voice widget for talk-and-go responses • Stack them or split them, your choice • Zero app opening, zero friction, full speed Two widgets, one tap, all the Grok you need! Source: xAI

GROK CHAT AND VOICE ON DEMAND – DOUBLE THE POWER, ONE TAP, READY TO GO Turn your Home Screen into a Grok command center. Speed Doubled Up: • Add the chat widget for fast text queries • Add the voice widget for talk-and-go responses • Stack them or split them, your choice • Zero app opening, zero friction, full speed Two widgets, one tap, all the Grok you need! Source: xAI

Mario Nawfal

98,312 просмотров • 9 месяцев назад

Today, we open-source Pruna-Qwen-Image-2.1, a set of a few-step LoRA adapters that make Qwen-Image-2.1 by Qwen up to 6.3× faster for image generation and editing. - 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? Generate or edit images in just 5 or 8 steps instead of 40. Choose 5 steps for maximum speed or 8 steps for the best balance. - 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? The 8-step adapter is our recommended default. It supports text-to-image and single- or multi-image editing at 1K resolution, with up to three reference images. - 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸?The LoRA adapters load directly on top of Qwen-Image-2.1, while the pipeline remains unchanged. Each adapter uses its own optimized sigma schedule and runs without CFG. 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘫𝘶𝘴𝘵 𝘰𝘶𝘳 𝘧𝘪𝘳𝘴𝘵 𝘳𝘦𝘭𝘦𝘢𝘴𝘦, 𝘸𝘪𝘵𝘩 𝘦𝘷𝘦𝘯 𝘣𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Want to try the fast open-source integration? Check it here on Diffusers: Want to try the fastest image generation and editing endpoint? Check P-Image-Ideogram and P-Image-Edit here on API:

Today, we open-source Pruna-Qwen-Image-2.1, a set of a few-step LoRA adapters that make Qwen-Image-2.1 by Qwen up to 6.3× faster for image generation and editing. - 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? Generate or edit images in just 5 or 8 steps instead of 40. Choose 5 steps for maximum speed or 8 steps for the best balance. - 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? The 8-step adapter is our recommended default. It supports text-to-image and single- or multi-image editing at 1K resolution, with up to three reference images. - 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸?The LoRA adapters load directly on top of Qwen-Image-2.1, while the pipeline remains unchanged. Each adapter uses its own optimized sigma schedule and runs without CFG. 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘫𝘶𝘴𝘵 𝘰𝘶𝘳 𝘧𝘪𝘳𝘴𝘵 𝘳𝘦𝘭𝘦𝘢𝘴𝘦, 𝘸𝘪𝘵𝘩 𝘦𝘷𝘦𝘯 𝘣𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Want to try the fast open-source integration? Check it here on Diffusers: Want to try the fastest image generation and editing endpoint? Check P-Image-Ideogram and P-Image-Edit here on API:

Pruna AI

86,520 просмотров • 3 дней назад

Qwen 3.8 Max beat Fable 5 at building 3D physics scenes for 7x cheaper! We gave two models the same task. Build three self-contained 3D scenes, each one HTML file with real physics that runs itself. Prompts: - A marble machine that lifts marbles up a wheel and drops them on a loop - A car factory assembly line - A sawmill cutting logs into planks Outputs: Qwen 3.8 Max: 46.6K tokens, $0.28 Fable 5: 38.7K tokens, $1.93 Qwen worked much harder on the details. Its textures and shadows look real. Fable 5 built a fast prototype that works and left it there. In the marble machine, Fable's marbles show up from nowhere at the top of the wheel. In Qwen's, you can see them go up. On the car line, Qwen's cars look much better and more real. Fable's sawmill is very strange. The saw looks wrong, and the log goes right through a beam before the saw cuts it. Atomic Chat will have day zero support to run Qwen 3.8 Max locally!

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Qwen 3.8 Max beat Fable 5 at building 3D physics scenes for 7x cheaper! We gave two models the same task. Build three self-contained 3D scenes, each one HTML file with real physics that runs itself. Prompts: - A marble machine that lifts marbles up a wheel and drops them on a loop - A car factory assembly line - A sawmill cutting logs into planks Outputs: Qwen 3.8 Max: 46.6K tokens, $0.28 Fable 5: 38.7K tokens, $1.93 Qwen worked much harder on the details. Its textures and shadows look real. Fable 5 built a fast prototype that works and left it there. In the marble machine, Fable's marbles show up from nowhere at the top of the wheel. In Qwen's, you can see them go up. On the car line, Qwen's cars look much better and more real. Fable's sawmill is very strange. The saw looks wrong, and the log goes right through a beam before the saw cuts it. Atomic Chat will have day zero support to run Qwen 3.8 Max locally!

atomic.chat

210,569 просмотров • 1 месяц назад

The Multi-Shot App makes it easy to go from a simple prompt to a thoughtfully crafted scene. All with dialogue, sound effects and cinematic framing. Start from an image or go purely Text to Video. Available now in the App drawer on the web app.

The Multi-Shot App makes it easy to go from a simple prompt to a thoughtfully crafted scene. All with dialogue, sound effects and cinematic framing. Start from an image or go purely Text to Video. Available now in the App drawer on the web app.

Runway

14,229 просмотров • 5 месяцев назад