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We ran the same prompt and identical starting context on MiniMax-M2.1 and Claude Sonnet 4.5. MiniMax-M2.1 by MiniMax (official) reached a usable result faster, required fewer structural fixes, and produced a more consistent visual and interaction flow from the first pass. To test this properly, we asked both models... show more

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29,252 views • 6 months ago •via X (Twitter)

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There’s a free model that beats paid coding AIs. And it runs locally on your own machine. Here’s the exact “MiniMax M2.1 + NotebookLM + Gemini + Antigravity” workflow. → NotebookLM: paste your project goal + constraints + examples → Gemini: turn that into a clean spec and prompt → Antigravity: run the build loop with agent testing and terminal execution → MiniMax M2.1: generate clean code, tests, fixes, and refactors fast → Ship: deploy the landing page or automation and iterate weekly Save this video, you’ll build apps in minutes. Want the SOP? DM me. 💬

There’s a free model that beats paid coding AIs. And it runs locally on your own machine. Here’s the exact “MiniMax M2.1 + NotebookLM + Gemini + Antigravity” workflow. → NotebookLM: paste your project goal + constraints + examples → Gemini: turn that into a clean spec and prompt → Antigravity: run the build loop with agent testing and terminal execution → MiniMax M2.1: generate clean code, tests, fixes, and refactors fast → Ship: deploy the landing page or automation and iterate weekly Save this video, you’ll build apps in minutes. Want the SOP? DM me. 💬

Julian Goldie SEO

57,047 views • 7 months ago

After my last video, someone told me, “Auth pages are simple, build a landing page?” So I tried MiniMax M2.1 on BlackBox CLI, just out of curiosity. Single prompt and we cooked a clean, aesthetic landing page. lmk, if you want the prompt.

After my last video, someone told me, “Auth pages are simple, build a landing page?” So I tried MiniMax M2.1 on BlackBox CLI, just out of curiosity. Single prompt and we cooked a clean, aesthetic landing page. lmk, if you want the prompt.

Abhijit

31,461 views • 7 months ago

You can use a 100% open source and MUCH cheaper/free alternative to Claude Code and Opus 4.5 OpenCode + MiniMax M2.1 can even build a 3D website using pure vibe coding. Steps are really simple: 1. Install OpenCode using the command 'npm i -g opencode-ai' 2. Get your MiniMax API key here: 3. Configure the MiniMax (official) mode Just type "opencode connect minimax" Coding plans start at $2… 10x cheaper than Claude Code (yes). You can also invite friends so they can get 10% off and you’ll get 10% API credits. (You can also use it locally if you have the config) And you're ready to build and iterate almost endlessly since the model is both way faster and cheaper than Opus in CC.

You can use a 100% open source and MUCH cheaper/free alternative to Claude Code and Opus 4.5 OpenCode + MiniMax M2.1 can even build a 3D website using pure vibe coding. Steps are really simple: 1. Install OpenCode using the command 'npm i -g opencode-ai' 2. Get your MiniMax API key here: 3. Configure the MiniMax (official) mode Just type "opencode connect minimax" Coding plans start at $2… 10x cheaper than Claude Code (yes). You can also invite friends so they can get 10% off and you’ll get 10% API credits. (You can also use it locally if you have the config) And you're ready to build and iterate almost endlessly since the model is both way faster and cheaper than Opus in CC.

Paul Couvert

42,443 views • 6 months ago

MiniMax M2.1 is officially live🚀 Built for real-world coding and AI-native organizations — from vibe builds to serious workflows. A SOTA 10B-activated OSS coding & agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. The most powerful OSS model for the agentic era is here.

MiniMax M2.1 is officially live🚀 Built for real-world coding and AI-native organizations — from vibe builds to serious workflows. A SOTA 10B-activated OSS coding & agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. The most powerful OSS model for the agentic era is here.

MiniMax (official)

1,073,915 views • 7 months ago

MiniMax M3 vs GLM-5.2 vs Kimi K2.7 in Lunar Lander contest! 🔥 Last test of the day before going back to learning & build phase with Local Models, Swift and Apple Core AI 💪 I took the opportunity to test the MiniMax Code app for macOS. Video below speeded up. Followed by Lunar Lander implementation from the various models. My ranking: 🥇 GLM 5.2 🥈 MiniMax M3 🥉 Kimi K2.7 Coding Prompt and final results in this gist:

MiniMax M3 vs GLM-5.2 vs Kimi K2.7 in Lunar Lander contest! 🔥 Last test of the day before going back to learning & build phase with Local Models, Swift and Apple Core AI 💪 I took the opportunity to test the MiniMax Code app for macOS. Video below speeded up. Followed by Lunar Lander implementation from the various models. My ranking: 🥇 GLM 5.2 🥈 MiniMax M3 🥉 Kimi K2.7 Coding Prompt and final results in this gist:

Ivan Fioravanti ᯅ

21,604 views • 1 month ago

Nothing beats open-source! MiniMax just dropped M2.1, and devs are calling it "Claude at 10% the cost." - 72.5% SWE-Multilingual. Beats Sonnet 4.5 - 88.6% VIBE-bench. Beats Gemini 3 Pro I used it to build an AI studio that turns any website into a podcast. 100% open-source.

Nothing beats open-source! MiniMax just dropped M2.1, and devs are calling it "Claude at 10% the cost." - 72.5% SWE-Multilingual. Beats Sonnet 4.5 - 88.6% VIBE-bench. Beats Gemini 3 Pro I used it to build an AI studio that turns any website into a podcast. 100% open-source.

Akshay 🚀

140,572 views • 7 months ago

Claude Sonnet 4.5 or Gemini 3.0? 🤔 We tested both on Verdent with a massive prompt: "Build a fully functional Windows OS for the web." Watch the video to see the comparison and the incredible resulting OS (featuring a working Python terminal & Paint app!). The new Gemini 3.0 is a beast. Try the comparison yourself on Verdent.

Claude Sonnet 4.5 or Gemini 3.0? 🤔 We tested both on Verdent with a massive prompt: "Build a fully functional Windows OS for the web." Watch the video to see the comparison and the incredible resulting OS (featuring a working Python terminal & Paint app!). The new Gemini 3.0 is a beast. Try the comparison yourself on Verdent.

Verdent

651,146 views • 8 months ago

The MiniMax M2 model is mind-blowing! It's open-source. It outperforms Gemini 2.5, Claude 4.1, and Qwen3 across coding and tool-use benchmarks. Right now, it's one of the world's top 5 models in intelligence! And here is the best part: Claude is one of the best models you can use today, and MiniMax M2 costs only 8% of that! It's smaller, faster, and cheaper. Extremely efficient at using tokens. Minimax M2's biggest strength: High agentic capabilities. The model can plan and execute complex multi-tool workflows. It's reliable and very robust at executing long-horizon tool chains. In summary: • Low latency • Very cheap • Excels at agentic tasks • Open-source The model currently powers the MiniMax Agent and is available for a free global trial. You can access MiniMax M2's API here: To access the agent: And here is the MiniMax website: Thanks to the MiniMax team for showing me the ropes and partnering with me on this post.

The MiniMax M2 model is mind-blowing! It's open-source. It outperforms Gemini 2.5, Claude 4.1, and Qwen3 across coding and tool-use benchmarks. Right now, it's one of the world's top 5 models in intelligence! And here is the best part: Claude is one of the best models you can use today, and MiniMax M2 costs only 8% of that! It's smaller, faster, and cheaper. Extremely efficient at using tokens. Minimax M2's biggest strength: High agentic capabilities. The model can plan and execute complex multi-tool workflows. It's reliable and very robust at executing long-horizon tool chains. In summary: • Low latency • Very cheap • Excels at agentic tasks • Open-source The model currently powers the MiniMax Agent and is available for a free global trial. You can access MiniMax M2's API here: To access the agent: And here is the MiniMax website: Thanks to the MiniMax team for showing me the ropes and partnering with me on this post.

Santiago

91,197 views • 9 months ago

MiniMax M2.1 is really good for writing code. It's open source, and you can connect Visual Studio Code to it and start coding right away. The model is especially good for those who don't use Python as a primary language. It's currently the best multilingual model out there. The model hits 72.5% on SWE-Multilingual and 88.6% on VIBE-Bench (best!) This means the model is also really good at performing real engineering work and does very well at agentic tasks: • Long tool chains • Structured agent scaffolding • Following repo-level rules and slash commands • Working inside existing agent frameworks without falling apart And obviously, it's faster, cheaper, and more concise than M2, which was already really good. I recorded a video to show you how to run MiniMax (official)'s 2.1 using Visual Studio Code.

MiniMax M2.1 is really good for writing code. It's open source, and you can connect Visual Studio Code to it and start coding right away. The model is especially good for those who don't use Python as a primary language. It's currently the best multilingual model out there. The model hits 72.5% on SWE-Multilingual and 88.6% on VIBE-Bench (best!) This means the model is also really good at performing real engineering work and does very well at agentic tasks: • Long tool chains • Structured agent scaffolding • Following repo-level rules and slash commands • Working inside existing agent frameworks without falling apart And obviously, it's faster, cheaper, and more concise than M2, which was already really good. I recorded a video to show you how to run MiniMax (official)'s 2.1 using Visual Studio Code.

Santiago

47,879 views • 6 months ago

Claude Code with Sonnet 4.5 is actually incredible I gave it a prompt for a super complex app, and it one shot the entire thing In this video I walk you through how to use Claude Code to build a prompt library app you can start using immediately (no coding experience required):

Claude Code with Sonnet 4.5 is actually incredible I gave it a prompt for a super complex app, and it one shot the entire thing In this video I walk you through how to use Claude Code to build a prompt library app you can start using immediately (no coding experience required):

Alex Finn

40,955 views • 10 months ago

A self-evolving agent + a 428B model + 3 Macs = ? Your own AI lab. We ran MiniMax (official) M3 locally with Parallax, right on our desk. Then GenericAgent took over to create a 5-stock portfolio and write it to disk. No cloud. No API bills. Nothing left the machine. Wild to see a ~3K-line agent drive all this with a 400B+ model on local hardware. Thanks to the GenericAgent and MiniMax teams for making local AI feel real.

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Gradient

143,880 views • 1 month ago

$Anthropic is starting to ban Pro/Max accounts for using OpenClaw. Don’t risk your main account. 🛑 I’ve been running OpenClaw + Claude Code through the MiniMax M2.5 provider for $20/month. It’s "unlimited" for dev work and completely bypasses the ban wave since you’re using a dedicated API gateway. The setup: - Get the $10/$20 Coding Plan at - Grab the API key from the "Direct Account" sidebar. - Update your settings.json (Windows) or .zshrc (Mac) with the MiniMax endpoint. Claude Code (Windows): Go to ~/username/.claude/settings.json Paste your API key into this JSON: { "env": { "ANTHROPIC_BASE_URL": " "ANTHROPIC_AUTH_TOKEN": " ", "API_TIMEOUT_MS": "3000000", "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": 1, "ANTHROPIC_MODEL": "MiniMax-M2.5", "ANTHROPIC_SMALL_FAST_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_SONNET_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_OPUS_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_HAIKU_MODEL": "MiniMax-M2.5" } } Claude Code (macOS): In ~/.zshrc add: export MINIMAX_API_KEY="your_minimax_api_key_here" export ANTHROPIC_BASE_URL=" export ANTHROPIC_AUTH_TOKEN="$MINIMAX_API_KEY" export ANTHROPIC_MODEL="MiniMax-M2.5" Config details in the video. 👇$

Anthropic is starting to ban Pro/Max accounts for using OpenClaw. Don’t risk your main account. 🛑 I’ve been running OpenClaw + Claude Code through the MiniMax M2.5 provider for $20/month. It’s "unlimited" for dev work and completely bypasses the ban wave since you’re using a dedicated API gateway. The setup: - Get the $10/$20 Coding Plan at - Grab the API key from the "Direct Account" sidebar. - Update your settings.json (Windows) or .zshrc (Mac) with the MiniMax endpoint. Claude Code (Windows): Go to ~/username/.claude/settings.json Paste your API key into this JSON: { "env": { "ANTHROPIC_BASE_URL": " "ANTHROPIC_AUTH_TOKEN": " ", "API_TIMEOUT_MS": "3000000", "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": 1, "ANTHROPIC_MODEL": "MiniMax-M2.5", "ANTHROPIC_SMALL_FAST_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_SONNET_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_OPUS_MODEL": "MiniMax-M2.5", "ANTHROPIC_DEFAULT_HAIKU_MODEL": "MiniMax-M2.5" } } Claude Code (macOS): In ~/.zshrc add: export MINIMAX_API_KEY="your_minimax_api_key_here" export ANTHROPIC_BASE_URL=" export ANTHROPIC_AUTH_TOKEN="$MINIMAX_API_KEY" export ANTHROPIC_MODEL="MiniMax-M2.5" Config details in the video. 👇

Ziwen

108,499 views • 5 months ago

Insane! A brand-new AI video tool vid.fun just dropped, and it makes videos in a new way. With zero editing skills, you can go from idea to polished video in minutes by using AI agents 🤯🚀 Here’s how it works: • Start with your idea: drop a prompt, links, or even PDFs into the reasoning box (powered by o3-mini), and it will pull research and inspiration for you. • The AI agents handle the flow from over 1,000 style suggestions (or your custom LoRA!) to storyboarding. • choose from the best video models: Minimax, luma Veo2, and others • I chose Minimax for this onea, esily tweak keyframes, then watch Minimax turn them into video clips. • Add camera movements with Minimax Director mode. • Finally, Vid dot fun stitches it all together, adds an Udio soundtrack (also editable), and you’re done. No editor, no manual cuts just fast, smart 30-second video creation from start to finish.

Amira Zairi

16,576 views • 1 year ago

I've been playing with MiniMax M3 recently. The combination of coding, agent workflows, 1M context, and multimodal understanding made me curious enough to try something real. So I gave it one task: "Build me a Skill Hub to manage all my Claude Code skills."👇

I've been playing with MiniMax M3 recently. The combination of coding, agent workflows, 1M context, and multimodal understanding made me curious enough to try something real. So I gave it one task: "Build me a Skill Hub to manage all my Claude Code skills."👇

ares. 🎧

49,239 views • 1 month ago

Is your AI model losing focus on long tasks? Theo’s live stream showed Minimax M2.1 is built different, already outperforming other models that crumble under pressure. He had it grind on a feature for 400+ lines of code over 20 minutes without a single issue, while other models were making junior mistakes. It just plans, executes, and figures itself out. This is the kind of long-form consistency and reliability that most models only dream of. It’s fast, it’s solid, and it doesn’t lose track of instructions, a true workhorse for serious developers. Huge props to MiniMax (official) for building a model that can actually go the distance. See the future of AI development:

Is your AI model losing focus on long tasks? Theo’s live stream showed Minimax M2.1 is built different, already outperforming other models that crumble under pressure. He had it grind on a feature for 400+ lines of code over 20 minutes without a single issue, while other models were making junior mistakes. It just plans, executes, and figures itself out. This is the kind of long-form consistency and reliability that most models only dream of. It’s fast, it’s solid, and it doesn’t lose track of instructions, a true workhorse for serious developers. Huge props to MiniMax (official) for building a model that can actually go the distance. See the future of AI development:

FELIX

49,166 views • 7 months ago

Hello World ! We're Fireball Studio and we do visual development for video games and animation ! Here’s to a blazing 2025, let’s light up the year with more art!

Hello World ! We're Fireball Studio and we do visual development for video games and animation ! Here’s to a blazing 2025, let’s light up the year with more art!

Fireball Studio

58,925 views • 1 year ago

Announcing Artificial Analysis Video Arena - the first crowdsourced comparison for Text to Video models Text to Video models are accelerating rapidly and crossing quality thresholds every month. We created Video Arena to compare them using the only source of truth for visual media - human preference! Video Arena includes hundreds of videos from the leading video models, including: - Runway's Runway Gen 3 Alpha - Pika's Pika 1.5 - Luma's Dream Machine - MiniMax / Hailuo AI-MiniMax Hub - Kling AI's Kling 1.0 - Zhipu AI's CogVideoX-5B Voting is open now and we’ll be announcing the first leaderboard results within 24 hours. Any predictions? In the meantime, you can see your own ‘personal leaderboard’ of how you’ve ranked the video models after 30 votes. Link to the Artificial Analysis Video Arena in the below tweet! 👇

Announcing Artificial Analysis Video Arena - the first crowdsourced comparison for Text to Video models Text to Video models are accelerating rapidly and crossing quality thresholds every month. We created Video Arena to compare them using the only source of truth for visual media - human preference! Video Arena includes hundreds of videos from the leading video models, including: - Runway's Runway Gen 3 Alpha - Pika's Pika 1.5 - Luma's Dream Machine - MiniMax / Hailuo AI-MiniMax Hub - Kling AI's Kling 1.0 - Zhipu AI's CogVideoX-5B Voting is open now and we’ll be announcing the first leaderboard results within 24 hours. Any predictions? In the meantime, you can see your own ‘personal leaderboard’ of how you’ve ranked the video models after 30 votes. Link to the Artificial Analysis Video Arena in the below tweet! 👇

Artificial Analysis

27,096 views • 1 year ago

Open-weight MiniMax M3 filled out a US customs form from a driver's license photo For this test we deployed MiniMax M3 Q4 using MLX-VLM on a Mac Studio M3 Ultra 512GB RAM. The model was tasked with reading a scanned document and an ID card photo, then completing a declaration form Output: 736 tokens · Input: 1,847 tokens · Time: ~31s The model analyzed both inputs, streamed its reasoning, and then called three tools: write_field for text fields, mark for Yes/No checkboxes, and sign for the signature and date. It extracted the required information, mapped it to the correct fields and completed the form without any manual input

Open-weight MiniMax M3 filled out a US customs form from a driver's license photo For this test we deployed MiniMax M3 Q4 using MLX-VLM on a Mac Studio M3 Ultra 512GB RAM. The model was tasked with reading a scanned document and an ID card photo, then completing a declaration form Output: 736 tokens · Input: 1,847 tokens · Time: ~31s The model analyzed both inputs, streamed its reasoning, and then called three tools: write_field for text fields, mark for Yes/No checkboxes, and sign for the signature and date. It extracted the required information, mapped it to the correct fields and completed the form without any manual input

atomic.chat

109,369 views • 1 month ago

I plugged MiniMax (official) M3 into Claude Code in under 5 minutes and gave it a real task. most models need hand-holding every few steps. M3 ran 147 iterations on its own. what it actually did: → took a broken CUDA kernel → ran it for 24 hours, autonomously → pushed hardware efficiency from 7.6% to 71.3% → shipped a 9.4x speedup I didn't touch it once across that whole window. the rest of the spec sheet: → 1M token context window → native multimodal from day one → fully open weights pricing: → $20/month for 1.7B tokens → $50/month for 5.1B tokens → text, image, speech, and music all share one pool usually with this kind of capability the bill catches up fast. M3 keeps both lines low at the same time. that's the part that surprised me. and if this is what M3 does at launch, the full rollout is going to be one to watch. what would you build with 1M context? #MiniMax #MiniMaxM3 #ClaudeCode #LLM

I plugged MiniMax (official) M3 into Claude Code in under 5 minutes and gave it a real task. most models need hand-holding every few steps. M3 ran 147 iterations on its own. what it actually did: → took a broken CUDA kernel → ran it for 24 hours, autonomously → pushed hardware efficiency from 7.6% to 71.3% → shipped a 9.4x speedup I didn't touch it once across that whole window. the rest of the spec sheet: → 1M token context window → native multimodal from day one → fully open weights pricing: → $20/month for 1.7B tokens → $50/month for 5.1B tokens → text, image, speech, and music all share one pool usually with this kind of capability the bill catches up fast. M3 keeps both lines low at the same time. that's the part that surprised me. and if this is what M3 does at launch, the full rollout is going to be one to watch. what would you build with 1M context? #MiniMax #MiniMaxM3 #ClaudeCode #LLM

Nelly;

17,576 views • 1 month ago

🎉 Congrats to MiniMax (official) on releasing MiniMax M3! Frontier coding and agentic capabilities, native image and video input, computer use, and a 1M-token context window, all in a single open model. At the heart of M3 is MSA, a new sparse attention architecture: instead of attending densely over the full KV cache, each query scores 128-token KV blocks and runs attention only over the top blocks. That is what makes 1M-token context practical to serve. M3 runs in vLLM with day-0 support, verified on NVIDIA and AMD hardware: ✨ MSA sparse attention with dedicated prefill and decode kernels ✨ 1M-token context serving with prefix caching and chunked prefill ✨ BF16 and MXFP8 checkpoints, with MoE backends for both Hopper and Blackwell ✨ Native multimodal input (image + video) ✨ Tool calling, reasoning parsing, and thinking-mode control for agent workloads Day-0 support like this is a true team effort. Grateful to the teams at MiniMax (official), NVIDIA AI, AI at AMD, and Inferact, and to the vLLM community for making it happen. 🙏 Deep dive into the implementation, kernel work, and deployment recipes: 🔗

🎉 Congrats to MiniMax (official) on releasing MiniMax M3! Frontier coding and agentic capabilities, native image and video input, computer use, and a 1M-token context window, all in a single open model. At the heart of M3 is MSA, a new sparse attention architecture: instead of attending densely over the full KV cache, each query scores 128-token KV blocks and runs attention only over the top blocks. That is what makes 1M-token context practical to serve. M3 runs in vLLM with day-0 support, verified on NVIDIA and AMD hardware: ✨ MSA sparse attention with dedicated prefill and decode kernels ✨ 1M-token context serving with prefix caching and chunked prefill ✨ BF16 and MXFP8 checkpoints, with MoE backends for both Hopper and Blackwell ✨ Native multimodal input (image + video) ✨ Tool calling, reasoning parsing, and thinking-mode control for agent workloads Day-0 support like this is a true team effort. Grateful to the teams at MiniMax (official), NVIDIA AI, AI at AMD, and Inferact, and to the vLLM community for making it happen. 🙏 Deep dive into the implementation, kernel work, and deployment recipes: 🔗

vLLM

40,306 views • 1 month ago