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Kimi Code is good at video reasoning with Kimi K2.6.🎬 Drag in reference videos, ask about colors, shots, or visual style, and Kimi Code can generate a ready-to-use .cube LUT file.🎞️

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Kimi Developers

58,893 subscribers

13,574 просмотров • 3 месяцев назад •via X (Twitter)

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Kimi K3 is CRAZY at frontend used about 3 vague prompts to create this site in Kimi Code
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Kimi K3 is CRAZY at frontend used about 3 vague prompts to create this site in Kimi Code

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Here's a full walkthrough of how I built this 2.5D Paper Mario-like game with Grok Build and Kimi K3. Shows how to: → Use Kimi K3 with Grok Build / Claude Code → Generate game sprites with Spriterrific
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Achieve your GOALLLLL with Kimi Code! 🚀 Kimi Code can now plan, execute, revise, and debug 24/7 until your goal is done. Just give it a clear, specific, and achievable objective with /goal — then let it work step by step. Try out /goal with Kimi K2.7-Code 👉
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this guy just wired kimi k3 directly into codex. the model is insanely good, but the app isn’t. so instead of using the kimi app, he connected his kimi subscription to codex through oauth. now kimi k3 shows up right inside the model picker alongside sol 5.6. no api key needed. no extra subscription either. just sign in with oauth through kimi code, and it’s ready to use. simple guides in the video and links below 👇
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this guy just wired kimi k3 directly into codex. the model is insanely good, but the app isn’t. so instead of using the kimi app, he connected his kimi subscription to codex through oauth. now kimi k3 shows up right inside the model picker alongside sol 5.6. no api key needed. no extra subscription either. just sign in with oauth through kimi code, and it’s ready to use. simple guides in the video and links below 👇

MIKE

58,719 просмотров • 2 месяцев назад

Ran two prompts in Kimi K2.7 Code HighSpeed, Kimi K2.7 Code, and GLM 5.2 HighSpeed is 2.5 to 4.2 times faster than Kimi K2.7 Code while producing comparable quality 4.5 to 15 times faster than GLM 5.2, and half the price (or less) These are simple tests, so the pricing difference is small and speed difference could diverge a lot But definitely a hell of a lot faster with good output
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Ran two prompts in Kimi K2.7 Code HighSpeed, Kimi K2.7 Code, and GLM 5.2 HighSpeed is 2.5 to 4.2 times faster than Kimi K2.7 Code while producing comparable quality 4.5 to 15 times faster than GLM 5.2, and half the price (or less) These are simple tests, so the pricing difference is small and speed difference could diverge a lot But definitely a hell of a lot faster with good output

GMI Cloud

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K2.5 - GLM-4.7 and MiniMax M2.1 solving a Rubik’s Cube in 3D. 👀 Kimi CLI and Claude Code used here. 🥇 GLM-4.7 36 secs and perfect! 🥈 K2.5 - Missing colors in the cube 🥉 MiniMax 2.1 - Missing colors and failed to autosolve
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K2.5 - GLM-4.7 and MiniMax M2.1 solving a Rubik’s Cube in 3D. 👀 Kimi CLI and Claude Code used here. 🥇 GLM-4.7 36 secs and perfect! 🥈 K2.5 - Missing colors in the cube 🥉 MiniMax 2.1 - Missing colors and failed to autosolve

Ivan Fioravanti ᯅ

29,764 просмотров • 7 месяцев назад

Anthropic's in trouble, again. The entire Claude experience is now available at 1/6th the price. Kimi now does everything Claude does, powered by K2.6, a 1-trillion-parameter MoE model that activates only 32B parameters per token. It covers all three features Claude has (Chat, Code, and Cowork): 1) Kimi Chat runs in four modes - Instant for fast responses - Thinking for deep reasoning - Agent for multi-step execution - and Agent Swarm for parallel workloads. There's a 262K context window across all of them. 2) Kimi Code is the open-source CLI coding agent with K2.6 as the default backend. K2.6 ranked #1 on OpenRouter's programming leaderboard by weekly usage. 3) Kimi Agent is the Cowork equivalent. It generates: - full websites with database and auth - presentation decks (editable PPTX output) - spreadsheets with formulas and charts - word docs and structured research reports. On top of this, Kimi K2.6 is also trained to decompose tasks into up to 300 parallel sub-agents. This helps it retain coherence even across 4,000+ tool calls in a single run, with sessions sustaining up to 13 hours. On SWE-Bench Pro: - Kimi K2.6 → 58.6 - GPT-5.4 xhigh → 57.7 - Gemini 3.1 Pro → 54.2 - Claude Opus 4.6 → 53.4 Kimi K2.6 model is open weights and self-hostable on 4x H100s in INT4. Find the link to the HuggingFace model page in the replies!
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Anthropic's in trouble, again. The entire Claude experience is now available at 1/6th the price. Kimi now does everything Claude does, powered by K2.6, a 1-trillion-parameter MoE model that activates only 32B parameters per token. It covers all three features Claude has (Chat, Code, and Cowork): 1) Kimi Chat runs in four modes - Instant for fast responses - Thinking for deep reasoning - Agent for multi-step execution - and Agent Swarm for parallel workloads. There's a 262K context window across all of them. 2) Kimi Code is the open-source CLI coding agent with K2.6 as the default backend. K2.6 ranked #1 on OpenRouter's programming leaderboard by weekly usage. 3) Kimi Agent is the Cowork equivalent. It generates: - full websites with database and auth - presentation decks (editable PPTX output) - spreadsheets with formulas and charts - word docs and structured research reports. On top of this, Kimi K2.6 is also trained to decompose tasks into up to 300 parallel sub-agents. This helps it retain coherence even across 4,000+ tool calls in a single run, with sessions sustaining up to 13 hours. On SWE-Bench Pro: - Kimi K2.6 → 58.6 - GPT-5.4 xhigh → 57.7 - Gemini 3.1 Pro → 54.2 - Claude Opus 4.6 → 53.4 Kimi K2.6 model is open weights and self-hostable on 4x H100s in INT4. Find the link to the HuggingFace model page in the replies!

Avi Chawla

110,057 просмотров • 4 месяцев назад

Cerebras inference is very fast. So fast that it changes how we think about configuring our LLMs for voice agent use cases. Kimi K2.6 is a 1T parameter reasoning model that Cerebras serves at 650 - 1,000 tokens per second (end-to-end throughput), with time to first token metrics as low as 150ms (latency). These numbers are two to three times faster than other similarly capable models. The biggest lever we get from this kind of speed is that we can use the model in reasoning mode, and still have excellent "time to first non-thinking token." This solves a big pain point we have in 2026 for voice agent use cases. Almost all recent innovation in post-training has focused on making models good at reasoning ("test time compute"). This is great, but it makes the user-facing model latency much, much slower. Which is a problem for conversational voice agents. We can run Kimi K2.6 with reasoning turned on, and get responses faster than other models produce with reasoning disabled. On my 30-turn voice agent benchmark, Kimi K2.6 with reasoning enabled ties GPT 5.1 and Haiku 4.5 with reasoning disabled, and is still about 200ms seconds faster! On my primary task agent benchmark, Kimi K2.6 is now the #2 model. It ranks just behind Gemini 3.5 Flash in "high" reasoning mode, and tied with GLM 5, Sonnet 4.6, and GPT 5.4 with reasoning set to "low." But Kimi K2.6 completes each turn in the agent loop in under 500ms. The other four models are all at least 3x slower. (Models only qualify for this benchmark if they can complete task turns at a P50 <4s.) A couple of other things that this speed buys us, for production voice agents: - Tool calls happen fast enough that we don't have to work around tool call latency in our pipeline design. - We can prompt the model to output structured data at the beginning of a response, followed by plain text for voice generation. This opens up possibilities like asking the model to do complex classification/generation tasks that influence the rest of the pipeline. For example, the model could create a detailed style prompt for a steerable TTS model, for each individual conversation turn. And, of course, you can use Kimi K2.6 with reasoning turned off. Cerebras calls this "instant" mode. Here's a video of a Cerebras Kimi K2.6 voice agent with voice-to-voice response time, measured at the client, under 500ms. This is the true response latency as perceived by the user, including all network and audio codec overhead, transcription and turn detection, Kimi K2.6 token generation, and voice generation. 500ms is, effectively, instant. So the Cerebras naming for this mode is a propos. :-)
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Cerebras inference is very fast. So fast that it changes how we think about configuring our LLMs for voice agent use cases. Kimi K2.6 is a 1T parameter reasoning model that Cerebras serves at 650 - 1,000 tokens per second (end-to-end throughput), with time to first token metrics as low as 150ms (latency). These numbers are two to three times faster than other similarly capable models. The biggest lever we get from this kind of speed is that we can use the model in reasoning mode, and still have excellent "time to first non-thinking token." This solves a big pain point we have in 2026 for voice agent use cases. Almost all recent innovation in post-training has focused on making models good at reasoning ("test time compute"). This is great, but it makes the user-facing model latency much, much slower. Which is a problem for conversational voice agents. We can run Kimi K2.6 with reasoning turned on, and get responses faster than other models produce with reasoning disabled. On my 30-turn voice agent benchmark, Kimi K2.6 with reasoning enabled ties GPT 5.1 and Haiku 4.5 with reasoning disabled, and is still about 200ms seconds faster! On my primary task agent benchmark, Kimi K2.6 is now the #2 model. It ranks just behind Gemini 3.5 Flash in "high" reasoning mode, and tied with GLM 5, Sonnet 4.6, and GPT 5.4 with reasoning set to "low." But Kimi K2.6 completes each turn in the agent loop in under 500ms. The other four models are all at least 3x slower. (Models only qualify for this benchmark if they can complete task turns at a P50 <4s.) A couple of other things that this speed buys us, for production voice agents: - Tool calls happen fast enough that we don't have to work around tool call latency in our pipeline design. - We can prompt the model to output structured data at the beginning of a response, followed by plain text for voice generation. This opens up possibilities like asking the model to do complex classification/generation tasks that influence the rest of the pipeline. For example, the model could create a detailed style prompt for a steerable TTS model, for each individual conversation turn. And, of course, you can use Kimi K2.6 with reasoning turned off. Cerebras calls this "instant" mode. Here's a video of a Cerebras Kimi K2.6 voice agent with voice-to-voice response time, measured at the client, under 500ms. This is the true response latency as perceived by the user, including all network and audio codec overhead, transcription and turn detection, Kimi K2.6 token generation, and voice generation. 500ms is, effectively, instant. So the Cerebras naming for this mode is a propos. :-)

kwindla

40,593 просмотров • 4 месяцев назад

Pi agent is the Arch Linux of coding agents Qwen 3.6 Plus not caching? > No problem. Just ask Pi to patch itself from a community fork Kimi K2.6 imploding mid reasoning? > No problem. Just pull a snippet from a good Samaritan and let Pi test it on itself Now, I can use the reliable Qwen 3.6 Plus without busting my OpenCode Go sub, and the capable Kimi K2.6 without 404s The beauty of Pi is it can customize itself
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Pi agent is the Arch Linux of coding agents Qwen 3.6 Plus not caching? > No problem. Just ask Pi to patch itself from a community fork Kimi K2.6 imploding mid reasoning? > No problem. Just pull a snippet from a good Samaritan and let Pi test it on itself Now, I can use the reliable Qwen 3.6 Plus without busting my OpenCode Go sub, and the capable Kimi K2.6 without 404s The beauty of Pi is it can customize itself

raymel 👋

47,901 просмотров • 4 месяцев назад

Kimi. Kimi. Kimi. 🔥 You can literally build a beautiful website in a couple of hours using Kimi.ai 3D effects, images, UI elements, everything gets generated on its own. You don't have to spend time finding assets, fonts, or any other design resources. This is the kind of intelligence I want from AI. Give it a prompt and a reference, and it should figure out the rest. Generate the assets, coordinate the sub agents, and ship a complete experience. That's the future. Live: Code: Design:
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Kimi. Kimi. Kimi. 🔥 You can literally build a beautiful website in a couple of hours using Kimi.ai 3D effects, images, UI elements, everything gets generated on its own. You don't have to spend time finding assets, fonts, or any other design resources. This is the kind of intelligence I want from AI. Give it a prompt and a reference, and it should figure out the rest. Generate the assets, coordinate the sub agents, and ship a complete experience. That's the future. Live: Code: Design:

The Bugged Dev

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Can an open-weight coding agent + harness match Claude Code at training a domain-specific model? Same one-line prompt. ~13 min e2e. Pushed to Hugging Face. Pi + @moonshotai Kimi K2.6 vs Claude Code + Opus 4.7. Task: classify NC session laws (1866-1967) as Jim Crow or not
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Can an open-weight coding agent + harness match Claude Code at training a domain-specific model? Same one-line prompt. ~13 min e2e. Pushed to Hugging Face. Pi + @moonshotai Kimi K2.6 vs Claude Code + Opus 4.7. Task: classify NC session laws (1866-1967) as Jim Crow or not

Daniel van Strien

75,883 просмотров • 4 месяцев назад

Another one-shot "Video-Code" result by Kimi K2.5 Agent Screen recording in = fully working live web with rich UX designs, including visual transitions, hover states and micro-interactions. No long prompts. No breakdowns. All you have to do is tell Kimi: "Clone this website with all the UX designs." Original website:
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Another one-shot "Video-Code" result by Kimi K2.5 Agent Screen recording in = fully working live web with rich UX designs, including visual transitions, hover states and micro-interactions. No long prompts. No breakdowns. All you have to do is tell Kimi: "Clone this website with all the UX designs." Original website:

Kimi Product

40,147 просмотров • 7 месяцев назад

its over ........ no mcp , skills , or tool used only pure code Kimi K3 is motion graphic champion 😼 Holy Shit it coded this entire motion graphic video of x that nikita shared first watch quoted video then watch what kimi created one shot with prompt only no visual feedback
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its over ........ no mcp , skills , or tool used only pure code Kimi K3 is motion graphic champion 😼 Holy Shit it coded this entire motion graphic video of x that nikita shared first watch quoted video then watch what kimi created one shot with prompt only no visual feedback

Chetaslua

64,225 просмотров • 2 месяцев назад

🆕 Kimi.ai's Kimi K2.7 Code is now generally available in GitHub Copilot. This is the first open-weight model offered as a selectable option in the Copilot model picker. 🎉 Early testing shows Kimi K2.7 is a lower-cost option with strong performance comparable to highly popular frontier models. Try it out now in Visual Studio Code and look out for it in more GitHub Copilot surfaces. 👇
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🆕 Kimi.ai's Kimi K2.7 Code is now generally available in GitHub Copilot. This is the first open-weight model offered as a selectable option in the Copilot model picker. 🎉 Early testing shows Kimi K2.7 is a lower-cost option with strong performance comparable to highly popular frontier models. Try it out now in Visual Studio Code and look out for it in more GitHub Copilot surfaces. 👇

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Google AntiGravity + Kimi K2.5 is INSANE! 🤯 Automate workflows with AI agents. No more hiring developers. No more testing code. Here’s the new play 👇 → Sync AntiGravity and Kimi 2.5 → Deploy software while you sleep → Run 100 agents at once → Automate code and browser testing → Turn screenshots into code Scale your output today. The tech is ready now. Want the full guide? DM me.
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Google AntiGravity + Kimi K2.5 is INSANE! 🤯 Automate workflows with AI agents. No more hiring developers. No more testing code. Here’s the new play 👇 → Sync AntiGravity and Kimi 2.5 → Deploy software while you sleep → Run 100 agents at once → Automate code and browser testing → Turn screenshots into code Scale your output today. The tech is ready now. Want the full guide? DM me.

Julian Goldie SEO

85,423 просмотров • 7 месяцев назад

Introducing Codespace A virtual computer that runs custom Claude Code on server. It is using 2 models: Kimi K2 + Claude Sonnet 4 in a sync. I achieved same code quality with 2x better reasoning and 53% less model cost. Access it today CodeGuide (500 credits for everyone)
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Introducing Codespace A virtual computer that runs custom Claude Code on server. It is using 2 models: Kimi K2 + Claude Sonnet 4 in a sync. I achieved same code quality with 2x better reasoning and 53% less model cost. Access it today CodeGuide (500 credits for everyone)

CJ Zafir

31,215 просмотров • 1 год назад

New Kimi K2.7 Code performs at GPT-5.5 level 3x cheaper! We gave both models the same three prompts: build a self-contained HTML5 canvas sim with real physics, no libraries. A spring pendulum on a stretching coil, a 1 kg block trading collisions with a 100,000 kg block, and 22 balls churning in a spinning hexagon Outputs: Kimi K2.7 Code: $0.28 on 52.4k tokens GPT-5.5: $0.93 on 23.4k tokens Spring pendulums and blocks came out even. The balls Kimi did better: its pile spins with the drum when GPT's bounce around in pure chaos. On price to quality, K2.7 Code is the clear pick
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New Kimi K2.7 Code performs at GPT-5.5 level 3x cheaper! We gave both models the same three prompts: build a self-contained HTML5 canvas sim with real physics, no libraries. A spring pendulum on a stretching coil, a 1 kg block trading collisions with a 100,000 kg block, and 22 balls churning in a spinning hexagon Outputs: Kimi K2.7 Code: $0.28 on 52.4k tokens GPT-5.5: $0.93 on 23.4k tokens Spring pendulums and blocks came out even. The balls Kimi did better: its pile spins with the drum when GPT's bounce around in pure chaos. On price to quality, K2.7 Code is the clear pick

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Announcing LlamaCoder v3 – generate React apps in 1 prompt! • Multi-file generation for better apps • Monaco editor to view &amp; export code • New models: GLM 4.6, Kimi K2, &amp; Qwen 3 Coder 100% free, open source, and powered by Together AI.

Hassan

43,008 просмотров • 9 месяцев назад

It worked!! Kimi k3 Oauth is now wired directly into codex. The Kimi k3 model is insane but their app is not. So I figure a better way to use k3 by hooking my sub straight into codex instead. K3 now sits in the model picker next to Sol 5.6. Same subscription i was already paying for, no api key, just have to do OAuth in Kimi Code. Links down below 👇
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It worked!! Kimi k3 Oauth is now wired directly into codex. The Kimi k3 model is insane but their app is not. So I figure a better way to use k3 by hooking my sub straight into codex instead. K3 now sits in the model picker next to Sol 5.6. Same subscription i was already paying for, no api key, just have to do OAuth in Kimi Code. Links down below 👇

Ziwen

277,151 просмотров • 2 месяцев назад

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We tested Kimi K3 against Claude Fable 5 on 3D modeling and animation Asked both to recreate the Millennium Falcon from Star Wars in 1) pixel style 2) original style. Both are on Max effort. Kimi K3 took a bit longer than Fable 5 to generate, but came in ~1/3 cheaper on the 1st test, and less than half the cost on the 2nd. Interestingly, Kimi K3 handled the details at the same level as Fable 5 on the original creation, yet it wasn't at Fable's level for the pixel style. Test 1 (Pixel) Kimi K3: 1hr 11min · $14.5 Fable 5: 49min · $21 Test 2 (Original) Kimi K3: 1hr 17min · $19.3 Fable 5: 1hr 5min · $47.2

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