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I tested Qwen 3.8 Max vs Kimi K3 Same scene, lighting, props, detail requirements. Qwen's output is decent, but it's not close to Kimi K3. Qwen's output came out messy, text handling was off, and the composition felt unorganized next to Kimi's version. In my opinion, Qwen isn't second... show more

Bhavy☄️

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34,045 views • 1 month ago •via X (Twitter)

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I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol

I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol

fardeen

35,594 views • 1 month ago

Qwen 3.8 Max on my shader test. Basic impression after a bunch of experiments is that it is a solid model, but not Kimi K3 level in my experience so far.

Qwen 3.8 Max on my shader test. Basic impression after a bunch of experiments is that it is a solid model, but not Kimi K3 level in my experience so far.

Ethan Mollick

39,519 views • 19 days ago

Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models

Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models

Ann Nguyen

464,973 views • 18 days ago

I asked Claude Opus 5, Qwen 3.8 Max, GPT 5.6 Sol, and Kimi K3, based on their taste in art, which animal represents them aesthetically then told them to create their own signature with that animal here is their results

I asked Claude Opus 5, Qwen 3.8 Max, GPT 5.6 Sol, and Kimi K3, based on their taste in art, which animal represents them aesthetically then told them to create their own signature with that animal here is their results

Ann Nguyen

50,133 views • 13 days ago

🚨 Qwen new checkpoint - kieran As usual it claims he is claude and made by anthropic but with tokenizer prompt , its clear - QWEN model Ignore website this is my test to know which model is which behind the scene , should i test it and compare with kimi k3 / opus 5 /sol 5.6

🚨 Qwen new checkpoint - kieran As usual it claims he is claude and made by anthropic but with tokenizer prompt , its clear - QWEN model Ignore website this is my test to know which model is which behind the scene , should i test it and compare with kimi k3 / opus 5 /sol 5.6

Chetaslua

15,544 views • 28 days ago

DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.

DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.

OmedTheVibeCoder

26,990 views • 21 days ago

AI can generate beautiful game worlds now. But a world is not a game. I tested Kimi K3 in Verdent against GPT-5.6 using the exact same prompt. One created a scene. K3 added real enemies, working combat, and something I could actually play. Watch the difference 🧵

AI can generate beautiful game worlds now. But a world is not a game. I tested Kimi K3 in Verdent against GPT-5.6 using the exact same prompt. One created a scene. K3 added real enemies, working combat, and something I could actually play. Watch the difference 🧵

Darshal Jaitwar

80,428 views • 23 days ago

1-bit Kimi K3 performs at Opus 5 level on 3D physics! We ran our Atomic Chat quant of Kimi K3 locally on 4x B200 against three cloud models and gave them all the same task, to build a giant anvil drop test as a single HTML file with real physics Outputs: K3 1bit (local): 15.8K tokens, $0 API cost Kimi K3 (API): 15.3K tokens, $0.30 API cost Opus 5: 22.8K tokens, $0.77 API cost GPT 5.6: 14.5K tokens, $0.72 API cost All four got the physics right. But only Kimi made a working winch. The drum turns and the chain drags the flat car off the pad. Opus 5 drew the most detail, road markings and sparks on the hit. And you can run a model at this level on your own box now. That still feels insane to us

1-bit Kimi K3 performs at Opus 5 level on 3D physics! We ran our Atomic Chat quant of Kimi K3 locally on 4x B200 against three cloud models and gave them all the same task, to build a giant anvil drop test as a single HTML file with real physics Outputs: K3 1bit (local): 15.8K tokens, $0 API cost Kimi K3 (API): 15.3K tokens, $0.30 API cost Opus 5: 22.8K tokens, $0.77 API cost GPT 5.6: 14.5K tokens, $0.72 API cost All four got the physics right. But only Kimi made a working winch. The drum turns and the chain drags the flat car off the pad. Opus 5 drew the most detail, road markings and sparks on the hit. And you can run a model at this level on your own box now. That still feels insane to us

atomic.chat

53,845 views • 21 days ago

Codex can run Qwen-3.8-max now as well!! Alibaba most capable model, dropped today and it's already in my codex picker. It's a token plan subscription, not metered api billing. You take the key from your Qwen plan, drop it into Codex Router, and it spends down the plan instead of your card. There's a catch though. Qwen's official setup switches your whole codex over to them, so your ChatGPT models stop showing up at all. That's exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, Grok, kimi, Deepseek and now Qwen 3.8 max all sit in the same picker and it can grab whichever one suits the job. Router's open source, setup's in the video 👇

Codex can run Qwen-3.8-max now as well!! Alibaba most capable model, dropped today and it's already in my codex picker. It's a token plan subscription, not metered api billing. You take the key from your Qwen plan, drop it into Codex Router, and it spends down the plan instead of your card. There's a catch though. Qwen's official setup switches your whole codex over to them, so your ChatGPT models stop showing up at all. That's exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, Grok, kimi, Deepseek and now Qwen 3.8 max all sit in the same picker and it can grab whichever one suits the job. Router's open source, setup's in the video 👇

Ziwen

407,847 views • 18 days ago

🤯KIMI K3 ABSOLUTELY MOGS! BEATING Opus 4.8, GPT 5.5, and even Fable 5 in multiple benchmarks. They scored 1688 on GDPval-AA v2 🔥 This is a completely different breed of open-source models Kimi creates better games and front-end designs than Fable 5, but it's 8x cheaper! The results coming out are truly impressive! I will be testing this out further and posting multiple tests today. Stay tuned!

🤯KIMI K3 ABSOLUTELY MOGS! BEATING Opus 4.8, GPT 5.5, and even Fable 5 in multiple benchmarks. They scored 1688 on GDPval-AA v2 🔥 This is a completely different breed of open-source models Kimi creates better games and front-end designs than Fable 5, but it's 8x cheaper! The results coming out are truly impressive! I will be testing this out further and posting multiple tests today. Stay tuned!

Mark Santos

127,666 views • 1 month ago

We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.

We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.

Rina

45,651 views • 25 days ago

Been using Qwen 3.8 27B (Q4) locally on 64GB of VRAM. Here is the verdict: SLOW 18 tps with ZERO system prompt to process and that degrades significantly with a harness system prompt and as the context window grows. RIP if you have to compact. I had it implement this PRD and it's been running for 6 hours. By comparison Grok 4.6 and Kimi K3 hosted finished in about ~30 minutes. High hopes, but these 27B variants are too dense. This is not a consumer grade local model - and I consider consumer grade to be anything up to $5000.

Been using Qwen 3.8 27B (Q4) locally on 64GB of VRAM. Here is the verdict: SLOW 18 tps with ZERO system prompt to process and that degrades significantly with a harness system prompt and as the context window grows. RIP if you have to compact. I had it implement this PRD and it's been running for 6 hours. By comparison Grok 4.6 and Kimi K3 hosted finished in about ~30 minutes. High hopes, but these 27B variants are too dense. This is not a consumer grade local model - and I consider consumer grade to be anything up to $5000.

Burke Holland

119,071 views • 6 days ago

KIMI K3 JUST RECREATED A FUNCTIONAL GAME BOY ADVANCE IN 3D → interactive 3D model, every button and screen modeled → a game loaded and playable right inside it → camera you can rotate and zoom around the device → one single prompt, zero external assets $3 in API with K3. the same result would run about $9 with Fable 5 and $6 with Opus 4.8 this isn't generating a static image of hardware anymore, it's generating a working simulation of it, from the shell to the screen to the game running inside

KIMI K3 JUST RECREATED A FUNCTIONAL GAME BOY ADVANCE IN 3D → interactive 3D model, every button and screen modeled → a game loaded and playable right inside it → camera you can rotate and zoom around the device → one single prompt, zero external assets $3 in API with K3. the same result would run about $9 with Fable 5 and $6 with Opus 4.8 this isn't generating a static image of hardware anymore, it's generating a working simulation of it, from the shell to the screen to the game running inside

alex

38,248 views • 1 month ago

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

GMI Cloud

37,446 views • 3 months ago

Kimi K3 vs GPT-5.6 vs Claude Fable 5 A game is one of the hardest places to fake working code. A web app can hide bugs behind a polished screenshot. A game can't. Bad collision, clipping, jitter, broken physics, awkward controls, or a snowboard sinking into the terrain become obvious within seconds. That's why I like using games to evaluate coding models. I gave Kimi K3 a single prompt to build a snowboard game in Godot, and just 20 seconds of gameplay told me more than a page of benchmark scores ever could. Benchmarks matter, but watching a model build something interactive reveals a different side of its capabilities. If the gameplay feels right, the systems work together, and the experience holds up under real input, that's a much more convincing demonstration than any leaderboard.

Kimi K3 vs GPT-5.6 vs Claude Fable 5 A game is one of the hardest places to fake working code. A web app can hide bugs behind a polished screenshot. A game can't. Bad collision, clipping, jitter, broken physics, awkward controls, or a snowboard sinking into the terrain become obvious within seconds. That's why I like using games to evaluate coding models. I gave Kimi K3 a single prompt to build a snowboard game in Godot, and just 20 seconds of gameplay told me more than a page of benchmark scores ever could. Benchmarks matter, but watching a model build something interactive reveals a different side of its capabilities. If the gameplay feels right, the systems work together, and the experience holds up under real input, that's a much more convincing demonstration than any leaderboard.

FHILY👑

36,569 views • 1 month ago

WOW KIMI K3 ON MY MACBOOK PRO IS MIND BLOWING! I am getting side by side comparisons that I can’t believe. By far the most powerful model I have ever run on a laptop. It is easily better than ChatGPT 3.5 at just a 1 bit quantized and close to ChatGPT 5. It beats most Claude models. More soon!

WOW KIMI K3 ON MY MACBOOK PRO IS MIND BLOWING! I am getting side by side comparisons that I can’t believe. By far the most powerful model I have ever run on a laptop. It is easily better than ChatGPT 3.5 at just a 1 bit quantized and close to ChatGPT 5. It beats most Claude models. More soon!

Brian Roemmele

107,008 views • 23 days ago

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Rina

264,903 views • 28 days ago

A 23-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE - AND NONE OF THEM CAN LIE TO HIM he opens the dashboard live: 300 Kimi K3 agents firing in parallel, Opus 5 checking every single output against its source > pointed at 100 EV-market companies > first pass - 12 failed: wrong revenue, dead citations, empty fields > second pass - 3 failed > third pass - zero, every row filed straight into an Obsidian vault loop engineering with teeth: it refuses to stop while anything is still wrong

A 23-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE - AND NONE OF THEM CAN LIE TO HIM he opens the dashboard live: 300 Kimi K3 agents firing in parallel, Opus 5 checking every single output against its source > pointed at 100 EV-market companies > first pass - 12 failed: wrong revenue, dead citations, empty fields > second pass - 3 failed > third pass - zero, every row filed straight into an Obsidian vault loop engineering with teeth: it refuses to stop while anything is still wrong

Mr. Buzzoni

1,072,827 views • 3 days ago

claude fable 5, gpt-5.6 sol, and kimi k3 can run their own website agency on autopilot here's the system each one runs: - picks its own niche and decides what businesses to target - scrapes every business in that niche off google maps - audits every real website, decides for itself what counts as broken - builds the full replacement site itself, real code, real design - writes the diagnosis line for the postcard, specific to that business - QR leads to a landing page where the owner pays to claim it reply "SYSTEM" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

claude fable 5, gpt-5.6 sol, and kimi k3 can run their own website agency on autopilot here's the system each one runs: - picks its own niche and decides what businesses to target - scrapes every business in that niche off google maps - audits every real website, decides for itself what counts as broken - builds the full replacement site itself, real code, real design - writes the diagnosis line for the postcard, specific to that business - QR leads to a landing page where the owner pays to claim it reply "SYSTEM" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

Chris

32,633 views • 1 month ago

$180,000 VOLVO SEMI TRUCK. EVERY WIRE AND PIPE IN THE CAB AND ENGINE BAY MAPPED IN ADVANCE. BUILT BY TYPING SENTENCES INSTEAD OF PLACING THEM BY HAND. A cab and engine bay this dense needed its wiring, cooling lines, and air and brake lines modeled and checked for clashes before a physical prototype could be built. The design team connected Kimi K3 to their CAD software through MCP, then had it read photos of the cab and engine bay alongside plain English descriptions of each system and build the model directly instead of placing every line by hand. Old process: 2 engineers, 3 weeks, around $19,000. New process: 1 engineer reviewing and refining the AI's output, 5 days, roughly $3,500 combined, engineer's time plus AI compute. Routing clashes caught this way cost a few hundred dollars to fix. The same clash caught after a physical prototype is already built costs 10 to 100 times more. See the article below for a smaller example of the Kimi K3 + Blender MCP workflow.

$180,000 VOLVO SEMI TRUCK. EVERY WIRE AND PIPE IN THE CAB AND ENGINE BAY MAPPED IN ADVANCE. BUILT BY TYPING SENTENCES INSTEAD OF PLACING THEM BY HAND. A cab and engine bay this dense needed its wiring, cooling lines, and air and brake lines modeled and checked for clashes before a physical prototype could be built. The design team connected Kimi K3 to their CAD software through MCP, then had it read photos of the cab and engine bay alongside plain English descriptions of each system and build the model directly instead of placing every line by hand. Old process: 2 engineers, 3 weeks, around $19,000. New process: 1 engineer reviewing and refining the AI's output, 5 days, roughly $3,500 combined, engineer's time plus AI compute. Routing clashes caught this way cost a few hundred dollars to fix. The same clash caught after a physical prototype is already built costs 10 to 100 times more. See the article below for a smaller example of the Kimi K3 + Blender MCP workflow.

Solvaix

64,657 views • 9 days ago