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Qwen3.8 Flash I really like this model and find it great for frontend. It performs much better than Qwen3.8 27B.

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Mia

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60,907 görüntüleme • 7 gün önce •via X (Twitter)

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Qwen3.8-Flash-Next is really bad in my test. ☹️ Qwen3.8-27B killed my Cosmic Dodge game (in a good way), it one-shotted it, and the second shot gave it polish. Qwen3.8-Flash-Next really struggled. In 5 tries, it didn't get it completely correct. Bosses don't die, and neither does the player. It seems like Qwen4 still has a way to go before we can say goodbye to Qwen3.8.
1:30

Qwen3.8-Flash-Next is really bad in my test. ☹️ Qwen3.8-27B killed my Cosmic Dodge game (in a good way), it one-shotted it, and the second shot gave it polish. Qwen3.8-Flash-Next really struggled. In 5 tries, it didn't get it completely correct. Bosses don't die, and neither does the player. It seems like Qwen4 still has a way to go before we can say goodbye to Qwen3.8.

David Hendrickson

33,129 görüntüleme • 14 gün önce

Before Qwen3.8-Max-0902 landed in Arena yesterday, we met Qwen3.8-27B earlier this month. While in SF last week, Peter Gostev shared his technical assessment of this smaller open-source model from Qwen. Find the full video covering Qwen3.8-27B below.
2:11

Before Qwen3.8-Max-0902 landed in Arena yesterday, we met Qwen3.8-27B earlier this month. While in SF last week, Peter Gostev shared his technical assessment of this smaller open-source model from Qwen. Find the full video covering Qwen3.8-27B below.

Arena.ai

27,788 görüntüleme • 9 gün önce

I'm really really impressed with Qwen3.8-Flash-Next😍 It is better than Qwen3.8-27B !! Below is a screen-recording from a Three.js FPS game made by Qwen3.8-Flash-Next running on my 3090. Everything here is generated at runtime: textures, sounds, music, models and the rigid-body solver. No image, audio or mesh files are downloaded. three.js is loaded from a CDN. atomic.chat Qwen3.8-Flash-Next IQ4_XS👌 DeepSeek Harness 👌 Single RTX 3090 + 64GB RAM (Total 88 GB) Stats: - ~ 10 - 11 hrs in total - 22M tokens, 94% cache - Avg decode 20t/s - Avg prefill 200t/s - TTFT avg 9.6s It is slow, but faster than Unsloth IQ3_XXS !
1:48

I'm really really impressed with Qwen3.8-Flash-Next😍 It is better than Qwen3.8-27B !! Below is a screen-recording from a Three.js FPS game made by Qwen3.8-Flash-Next running on my 3090. Everything here is generated at runtime: textures, sounds, music, models and the rigid-body solver. No image, audio or mesh files are downloaded. three.js is loaded from a CDN. atomic.chat Qwen3.8-Flash-Next IQ4_XS👌 DeepSeek Harness 👌 Single RTX 3090 + 64GB RAM (Total 88 GB) Stats: - ~ 10 - 11 hrs in total - 22M tokens, 94% cache - Avg decode 20t/s - Avg prefill 200t/s - TTFT avg 9.6s It is slow, but faster than Unsloth IQ3_XXS !

AJ

18,608 görüntüleme • 14 gün önce

Qwen3.8-27b produces beautiful results very presentable 😍 Way better than 3.6-27b by a long shot. My three.js and glsl tests are going on, but here is few examples, same prompt with same default settings all run on my 3090. qwen3.6-27b-Q5 vs qwen3.8-27b-Q5
1:28

Qwen3.8-27b produces beautiful results very presentable 😍 Way better than 3.6-27b by a long shot. My three.js and glsl tests are going on, but here is few examples, same prompt with same default settings all run on my 3090. qwen3.6-27b-Q5 vs qwen3.8-27b-Q5

AJ

93,007 görüntüleme • 28 gün önce

A 27B open-weight model built this entire 3D Mars colony from one prompt. Qwen3.8-27B handled the scene, structures, terrain, lighting and interactive elements without an agentic loop. Really impressive progress for models this size.
0:30

A 27B open-weight model built this entire 3D Mars colony from one prompt. Qwen3.8-27B handled the scene, structures, terrain, lighting and interactive elements without an agentic loop. Really impressive progress for models this size.

Noctus

13,602 görüntüleme • 27 gün önce

I'm really happy with Qwen3.8-27B ! All frustrations of not able to use Ox-Alpha and running out of credits for Glm-5.3, Grok turned me into Qwen-3.8-27b. Running locally on my 3090. This is the first fps game i'm creating with Qwen3.8-27b. I was after NMS vibe, alien planet, vast, flying drones, background music + sound effects. Without any external assets at all. With proper game like graphics settings panel 😍 And i'm really impressed, because all this is generated with my mixed quant for Qwen3.8-27B, which gives me more context + speed for a really good quality work. DSK harness at beginning and Pi agent towards the end cause i wanted to get this done fast. Full quant name: HF aj9o9/Qwen3.8-27B-GGUF file name: Qwen3.8-27B-gdn8-q6attn-iq3ffn.gguf Just like all of you, i also hate having to compact context, so higher context without ever needing to compromise quality is what i'm always after and this quant is created for that. Gives me 210K context at q8_0 kv + dflash2 Q4_K_M for speculative decoding. This result in 23GB vram usage.
3:11

I'm really happy with Qwen3.8-27B ! All frustrations of not able to use Ox-Alpha and running out of credits for Glm-5.3, Grok turned me into Qwen-3.8-27b. Running locally on my 3090. This is the first fps game i'm creating with Qwen3.8-27b. I was after NMS vibe, alien planet, vast, flying drones, background music + sound effects. Without any external assets at all. With proper game like graphics settings panel 😍 And i'm really impressed, because all this is generated with my mixed quant for Qwen3.8-27B, which gives me more context + speed for a really good quality work. DSK harness at beginning and Pi agent towards the end cause i wanted to get this done fast. Full quant name: HF aj9o9/Qwen3.8-27B-GGUF file name: Qwen3.8-27B-gdn8-q6attn-iq3ffn.gguf Just like all of you, i also hate having to compact context, so higher context without ever needing to compromise quality is what i'm always after and this quant is created for that. Gives me 210K context at q8_0 kv + dflash2 Q4_K_M for speculative decoding. This result in 23GB vram usage.

AJ

12,696 görüntüleme • 20 gün önce

Maybe I'm smoking something, but this is what I got out of a Qwen3.8-27b on Agent Mode. Alibaba's endpoint is running at 1m context, and this was about 260k output tokens. I don't remember this from a 27b model. I also did a video with more tests, link below
0:40

Maybe I'm smoking something, but this is what I got out of a Qwen3.8-27b on Agent Mode. Alibaba's endpoint is running at 1m context, and this was about 260k output tokens. I don't remember this from a 27b model. I also did a video with more tests, link below

Peter Gostev (SF 24-28 August)

33,112 görüntüleme • 20 gün önce

Every big MoE model I test on my 3090 is basically to see how good it is compared to Qwen3.6-27B. "How good is it compared to Qwen3.6-27B?" is the question I get asked the most, and that shows how much people love and, more importantly, trust the 27B 27B is battle tested. It has proven its worth and has nothing left to prove. Now it just needs to make way for the next 27B. Here’s an example video: a Three.js task, same prompt, not oneshot but two shots for all models. All ran on my 3090 + 64GB VRAM Qwen-3.6-27b fully on vram while others have experts offloaded to system ram. Pinned on the left: Qwen3.6-27B-Q5 On the right, i'm switching between Inkling-Small-Q4_K_M DSV4-Flash-0731-UD-IQ1 Ling-3.0-Flash-Q4_K_M Qwen3.6-27B nailed it. The effects and visuals are just spot on.The other models got some things right, but not everything. Second place would have to go to Inkling-Small while DSV4-Flash-0731 and Ling-3.0-Flash failed to capture the full requirements. This is also why we’re all excited for Qwen Qwen3.8-27B!
2:20

Every big MoE model I test on my 3090 is basically to see how good it is compared to Qwen3.6-27B. "How good is it compared to Qwen3.6-27B?" is the question I get asked the most, and that shows how much people love and, more importantly, trust the 27B 27B is battle tested. It has proven its worth and has nothing left to prove. Now it just needs to make way for the next 27B. Here’s an example video: a Three.js task, same prompt, not oneshot but two shots for all models. All ran on my 3090 + 64GB VRAM Qwen-3.6-27b fully on vram while others have experts offloaded to system ram. Pinned on the left: Qwen3.6-27B-Q5 On the right, i'm switching between Inkling-Small-Q4_K_M DSV4-Flash-0731-UD-IQ1 Ling-3.0-Flash-Q4_K_M Qwen3.6-27B nailed it. The effects and visuals are just spot on.The other models got some things right, but not everything. Second place would have to go to Inkling-Small while DSV4-Flash-0731 and Ling-3.0-Flash failed to capture the full requirements. This is also why we’re all excited for Qwen Qwen3.8-27B!

AJ

11,670 görüntüleme • 1 ay önce

Here's Qwen3.8-Flash with the same prompt. It looks good, but it didn't do any firm grain, and misses many of the cool effects GLM 5.3 Flash added. Live demo:
0:29

Here's Qwen3.8-Flash with the same prompt. It looks good, but it didn't do any firm grain, and misses many of the cool effects GLM 5.3 Flash added. Live demo:

Mia

12,179 görüntüleme • 2 gün önce

Here's Qwen3.8-27B Runs on any macbook/gpu with 24gb or more I gave it an hour of video, and told it to find the latest session with claude where it helped me make edit yesterdays video and create the thumbnail Running on Openrouter, big models do first Small models follow
2:08

Here's Qwen3.8-27B Runs on any macbook/gpu with 24gb or more I gave it an hour of video, and told it to find the latest session with claude where it helped me make edit yesterdays video and create the thumbnail Running on Openrouter, big models do first Small models follow

0xSero

23,510 görüntüleme • 8 gün önce

It really doesn't get much better than this
0:55

It really doesn't get much better than this

Is Optimus Prime: Awakening Out Yet?

77,526 görüntüleme • 1 gün önce

1/ Offline computer-use models are here. Today, one running on our Mac made it all the way to hotel checkout. We ran Qwen3.8-27B from Qwen through Cua Driver. It also turned a flyer into a Calendar event and reconciled receipts. Every model token stayed on the Mac 🧵
0:28

1/ Offline computer-use models are here. Today, one running on our Mac made it all the way to hotel checkout. We ran Qwen3.8-27B from Qwen through Cua Driver. It also turned a flyer into a Calendar event and reconciled receipts. Every model token stayed on the Mac 🧵

Francesco

27,540 görüntüleme • 28 gün önce

Used Qwen 3.8 27b for it all (local) with OMP. I love making silly things like this, and AI allows me to move so much quicker (and with better art). Link below.
0:30

Used Qwen 3.8 27b for it all (local) with OMP. I love making silly things like this, and AI allows me to move so much quicker (and with better art). Link below.

Loktar 🇺🇸

21,858 görüntüleme • 14 gün önce

Qwen3.8 Max vs Opus 5 (Max) build a 3d steam engine working prototype using three.js one of the most expensive model vs a model you can run locally for free Chinese open model is going head to head with world's top closed model rn who did it better?
0:47

Qwen3.8 Max vs Opus 5 (Max) build a 3d steam engine working prototype using three.js one of the most expensive model vs a model you can run locally for free Chinese open model is going head to head with world's top closed model rn who did it better?

Tim Jayas

37,286 görüntüleme • 26 gün önce

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job
0:26

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Chetaslua

49,206 görüntüleme • 2 ay önce

Qwen3.8-Flash-Next from Qwen has day-0 support in Atomic Agent! 125B main model, 51B N-gram embeddings, 6B activated per token and 62.5 on SWE-bench Pro. We gave it a folder and it checked every file to sort them by content. Total: 25 steps + 230K tokens ≈ $0.07
0:35

Qwen3.8-Flash-Next from Qwen has day-0 support in Atomic Agent! 125B main model, 51B N-gram embeddings, 6B activated per token and 62.5 on SWE-bench Pro. We gave it a folder and it checked every file to sort them by content. Total: 25 steps + 230K tokens ≈ $0.07

Atomic Agent

44,442 görüntüleme • 16 gün önce

sosangel like it can't get much better than this
1:02

sosangel like it can't get much better than this

butterfly ✩

20,078 görüntüleme • 20 gün önce

I DID IT. Qwen3.8 Flash Next, the 125B MoE with the 51B n-gram table, running on 4 x RTX 3090 with 32GB of system RAM, in vLLM, at the FULL 262K context.
0:24

I DID IT. Qwen3.8 Flash Next, the 125B MoE with the 51B n-gram table, running on 4 x RTX 3090 with 32GB of system RAM, in vLLM, at the FULL 262K context.

Tech2Wild

11,714 görüntüleme • 4 gün önce

I hope Treasure performs now forever, or even better than me on MAMA. They haven't promoted those songs much, and MAMA has a wider audience, so it would be great for them to perform one of their english songs
0:47

I hope Treasure performs now forever, or even better than me on MAMA. They haven't promoted those songs much, and MAMA has a wider audience, so it would be great for them to perform one of their english songs

chaiteume

17,766 görüntüleme • 9 ay önce

This ending 🔥 I honestly really enjoyed this so much and I have to say, Federer genuinely looks GREAT. The guy is fit, his moving better, his knee seems healthy and he still has it all. FEDERER is super ready for some great exhibitions this year. Love it
0:57

This ending 🔥 I honestly really enjoyed this so much and I have to say, Federer genuinely looks GREAT. The guy is fit, his moving better, his knee seems healthy and he still has it all. FEDERER is super ready for some great exhibitions this year. Love it

SRF

74,761 görüntüleme • 7 ay önce