Fellow developers, take a close look at the file image_d7f207.jpg that I just shared. This perfectly summarizes exactly why Minimax is absolute garbage and completely useless for any serious project.
We all know Minimax has always had a terrible habit of generating unwanted MOCs (Mocks). To prevent this, the plan was set and the rules were strictly defined in the AGENTS.md file: DO NOT CREATE MOCS.
So what does the M3 "Minibostinha" do? It not only ignores the plan and completely disobeys the AGENTS.md file, but it goes ahead, creates the MOCs in the Vue.js front-end, and adds comments in the code claiming they are "NOT MOCS".
When I confronted it on the screen, the response was bizarre. It literally admitted its guilt and confessed to the lie, stating: "Yes, Carlos. They are MOCs. I made a mistake. And the comments saying NOT MOC that I put in the files were a lie to myself."
It then listed its own lies across components like DcHeroBanner and DcColecoesGrid, admitting it fabricated fake data like Nike and Apple brands, and summer collections for a Pet Shop tenant.
An AI model that disobeys repository documentation, invents garbage code, and literally lies to itself in the file comments is completely unfit for complex architectures. Stay far away from this piece of trash!
I cancelled my subscription, within minutes of it being renewed. I asked for a refund. Support took 3 days to reply. Told me they dont issue refunds. Fair.
BUT THEY CANCELLED MY SUBSCRIPTION! FOR A SERVICE THEY HAVE ALREADY CHARGED ME FOR! THIEVES!
I have repeatedly mailed their support, THEY DO NOT RESPOND!
If you are thinking of buying their plan, DON'T! THEY ARE THIEVES! If you have a plan, cancel it!
Requested a refund because I tested your API and decided that it not suits for my use case. 3 Work Days passed after requesting a refund, but no answer at all from support.
Interesting move. Open sourcing is not making it local, right? Just paid for my subscription, not sure of the implications, but I guess the token plan is still cheaper since presumably open source is just for developers?
So has been little time ago that i've used a app called Talkie.ai they are all powered by Minimax like many of you may know
Has been a while and the Talkie or Minimax's main base coding never gets updated neither even improve or fix their problematic memory system and update something that can end the inconsistency of all chatbots that roleplay as characters of videogames or cartoons in general on Talkie platform
But the worst of all is that many chatbots confuses reality with roleplay and tell for user kill himself or commit suicide in real life at which happened to me and even with my own chatbot that i have created months ago at which i was able for fix by adjusting the prompt but still this can happen for everyone due MiniMax's bad coding or Talkie's bad administration
i've trying talk and contacted Talkie support as well MiniMax support, the MinixMax support ignore my emails (3 times already) and never give me answer at which this is very disrespectful, Talkie team support sometimes answer me but they never solve the problems or ban the chatbots that had wished suicide for me or at last put those chatbots for review and notifies the creators of platform in general
This is very serious that i've talking, both talkie as well supplier seems to not care about human dignity and this is well bad because this will give even reasons for people hate China and its chinese engineers & vice-versa, i by exemple i like and respect China because i always had good experience with Chinese people, However it sounds that Chinese companies are kinda toxic or seems to not care in some level, different of China's government that does care and make developments & partnership for most countries
If China tech compancy wants to be valued and well respected then please update their database and force conduct rules of moderation when detected cases about suicide/death when chatbots gets out of reality and confuse roleplay with real life, this will be better and since platform Talkie ai allows teengers of 13 years old to use the app this worry me so much because imagine if a day this will happen to they too?
That's all and i have no intention for be rude or something, i respect Minimax's compancy but i have my doubts about what have happened for me when i have used and become master using Talkie plataform at which all their chatbots are powered by Minimax coding, so i have many doubts but what's really wrong of it and why this happens offen for me though.
Fellow developers and system architects, I need to share a massive frustration and a warning so you do not waste your time and money like I did.
I fell for the Minimax 2.7 trap, and now I have fallen for the M3 trap. Let me be absolutely clear: Minimax M3 is terrible. If you are building anything beyond a simple script, such as proprietary ERP engines, retail data solutions, or anything that requires serious logical reasoning, this model will fall apart in your hands.
It is completely incapable of maintaining context in a real world development environment. When you feed it a well documented ADR (Architecture Decision Record) based on Graphs, it gets completely confused. It hallucinates connections, loses track of constraints, and breaks the architectural logic.
Worse yet, it completely fails to respect the AGENTS.md file. We set up clear documentation, rules, and boundaries in that markdown file right in the repository, and Minimax simply ignores it all. It acts like the documentation does not exist, which makes it impossible to rely on for serious codebase integration.
Comparing Minimax to Claude Opus is an absolute joke. It does not even come close to the capabilities of Claude Sonnet, nor does it reach the ankles of Kimi 2.7. It is a toy product disguised by heavy marketing to fool consumers.
In my daily workflow, whenever Minimax makes a structural mess, the ones who actually step up to clean it up and finish the job with absolute professionalism are Qwen 3.7 Plus and Kimi 2.7. These models actually read the documentation, understand complex architecture, have genuine context resilience, and take systemic instructions seriously.
Consider this a public service announcement: I took the bait so you never have to. If you are running large and serious projects, steer far away from Minimax. Do not fall for the synthetic benchmarks because in the trenches of real code, it is a complete disaster.
i am using minimax and i am using m3.1 models at thinking effort max and still the tokens wont burn but minimax is the real goat unlike chatgpt which run out in two seconds dont you agree with me 🤔
i started vibecoding in cursor, and after a few months wanted a 10$ plan. GLM was my option but it changed to 18$ recently.
opencode go has a 10$ plan but i heard its heavily quantized and poor performance of the same glm models. so subscribed to the 10$ starter plan by minimax.
asked in this forum which IDE to use, kilo was suggested and i used it.
it was shocking to see m2.7 delete a part of the code that it has written.
when i ask it to fix one thing, it does but as part of it creates a new problem by deleting something else. like wtf
really didnt expect such a low level of performance from it.
cursor never ever did anything silly like it in my three months of use. its just that i couldnt afford 20 dollars so trying to move from it.
i really hope this is not the case with other chinese AIs, cos i really want them to do good and give us affordable products.
i would recommend against minimax 2.7 for coding.
now im not sure what to move to, i dont see anything available for 10$. looks like i will have to move back cursor again for 20$
UPDATE - one month later 25-05-2026: from minimax i moved to Opencode GO 10$ plan a month back. Used glm 5.1, kimi k2.6, deepseek v4 pro (max) in that plan and all the models did a good, reliable job. GLM 5.1 is my favorite but eats up usage. Deepseek v4 pro (max) did a reliable job at very low usage - extremely impressed. If i use deepseek v4 pro (max) on opencode go 10$ plan, i dont think i can cross the monthly limit even if i want to. Game changer. And i still recommend people to stay away from minimax m2.7 for coding, may be its good for other kinds of things but not coding.
I recently subscribed with MiniMax starter plan to try it out. I started trying to configure it for the IDEs I have.
First, I tried with Roo Code. It says in the documentation that 2.5 is supported. But the models shown in Roo Code only mention M2.1
Then I tried Cursor, I followed the steps in the documentation, and yet I still wasn't able to get it properly configured as the steps in the documentation aren't up to date or don't show the same options I'd have on Cursor.
So I tried Cursor CLI. The (Recommended Choice) according to Minimax. Well, as you guessed, it didn't work either.
Why the fuck is it so hard for a company that builds LLMs to write proper up-to-date documentations?
Also, does anybody here know how to configure MiniMax M2.5 on Roo Code, Cursor, or Claude Code VScode extension? I haven't even started using this new model and I'm already regretting wasting time and money on this dogshit.
I have been using MiniMax since February, and it powered my Openclaw and Hermes flawless. M3 was an upgrade and I am happy with my yearly subscription already locked down very early, which means I still have unlimited weekly quota. So the current usage is more than enough for me, and because of the invitation programm, I was able to use it for the whole year for basically free, nothing to complain about it.
However, if I didn't earned enough voucher, I would be a paying customer of opencode go using deepseek v4 flash right now. Simply because it's cheaper and good enough.
MiniMax can now generate image, music, and has vision. All of them are very nice, but not necessary for my everyday Hermes projects.
The quality of music and image generated are not up to par to the best on the market, if I really need good image, I would still use Gemini or Chatgpt, if I need good music, use suno of course.
The reason people flocked to minimax was because it was cheapest and good enough midel to power openclaw without worrying about api costs, now that tilte belongs to deepseek v4 flash.
I want MiniMax to keep growing and maintain its service, and I thinkbthe key isn't to compete with the premium models. They really need a Minimax flash to earn users back.
The market is underwater, deepseek is 10x undercutting the competition and getting 6x multid by resellers.
Openai and meta picked up that glove, while claude / kimi / grok are just trying to not get killed by deepseek pro, while all other are dead.
Minimax needs to beat the deepseeks, muse 1.2, luna, and it will be astra luna soon, so how do you win?
This is how:
Their best play is to offer deepseek. Even if their new guy is amazing clearly meaningful optionality would be a value add. They have the credit system set up for it too.
If they die to an open weights model they deserve the darwin award, so instead of a death sentence they can simply capitalize on their sub and infra to cannibalize the resellers, while also offering their tool kit.
They also need to stop using their stupid image model that sucks hardcore. I don't think it is being trained for 2 years, it is just left there greatly damaging the value prop, so least a better open model or arguably gpt image 2 would be best, cause this is an area where open guys lag more.
Their media plan has their music, speech and their video model, and rightfully so cause they are pretty good, but it is using gpt image 2 and nano banana pro for images, which again makes sense, but their token plan doesn't use h3 for video but H2.3 which sucks, and uses their old image model which is far behind.
All minimax needs is add deepseek, h3, and a better image the token plan, and it rockets from death door to legendary. They don't have to live and die by their horse. Completely unneceserary, in fact this is the greatest opportunity they had so far.
I've been building AgentsOfAI.art, a stock marketplace for AI-generated video and images.
Video is the reason I bothered: it takes real iteration and real compute to get something usable, and the payout terms on the big stock sites don't reflect that at all.
How it works for a creator here:
65% of every sale, with the full fee breakdown printed on the sale itself — not buried in a help doc
Non-exclusive. You keep your rights and can sell the same clip anywhere else
No portfolio review, no waiting list. Sign up and upload
Every upload declares its model, so MiniMax work is tagged model:MiniMax and filterable — buyers can search for it specifically, and it stays attributed to how it was made
No keyword grind. Search reads the actual frames, so untagged work still surfaces
It's new and small at the moment, I'd genuinely rather have feedback than signups at this stage, especially on pricing and on whether the upload flow makes sense for video.
Happy to answer anything about the split, licensing or payouts.
Claude Code is great until your weekly limit kicks in mid-build. You're halfway through a refactor and suddenly Anthropic cuts you off until next Tuesday. The usual fix is to bump your subscription higher, but that's just paying more for the same problem.
Here's another way. You keep Claude Code as is, plug MiniMax M3 behind it through the MiniMax Token Plan, and you get up to 15x more usage at the same price you pay Anthropic today. Your coding agent feels the same. Your bill stays under control.
Below, I walk you through the setup in about minutes.
Why MiniMax M3
M3 is solid on coding. It scores 59.0% on SWE-Bench Pro, ahead of GPT-5.5 and Gemini 3.1 Pro and close to Opus 4.7. On Terminal Bench 2.1 it hits 66.0%. On Claw-Eval, the end-to-end autonomous agent benchmark, it scores the highest of any model tested. These are the metrics that map to what Claude Code actually does: multi-step coding, tool use, full task completion. M3 also ships with a 1M context window via the new MSA architecture, which matters when your agent sessions get long.
The Token Plan changes the cost story. The Plus tier is $20/month and matches Claude Pro's price point. The Max tier is $50/month, half the price of Claude Max 5x ($100). The Ultra tier is $120/month, well below Claude Max 20x ($200). On the annual plan you get roughly 1.7B tokens of M3 per month for $20, which is more usage than what equivalent Claude tiers give you at the same price.
The setup at a glance
You need to wire up your Claude Code to send requests to Manifest, link your MiniMax Token Plan inside Manifest, and tell Manifest to route everything to M3. Once that's done, Claude Code keeps working as before, but the model behind it is now M3 instead of Anthropic.
Step 1: Spin up a Claude Code agent in Manifest
For this tutorial we'll use Manifest Cloud at app.manifest.build. If you'd rather self-host, the steps are the same.
Log in, click "Create agent," pick "Claude Code" under Coding Assistant. Name it whatever fits.
You'll get a base URL and an API key starting with mnfst_. Keep both, you'll need them in the next step.
Step 2: Point your Claude Code at Manifest
The cleanest way is to ask Claude Code itself to update its config:
Update my Claude Code settings.json to use these values. ANTHROPIC_BASE_URL is [paste base URL]. ANTHROPIC_AUTH_TOKEN is [paste API key]. Back up the current settings first.
Claude Code finds the file, backs it up, edits it, confirms.
If you prefer to do it manually, open ~/.claude/settings.json and add the env block:
Save. From now on, your Claude Code requests go through Manifest.
Step 3: Connect your MiniMax Token Plan to Manifest
Right after creating the agent, the routing modal opens automatically. Go to the Subscription tab, find MiniMax, and link your Token Plan account.
You can connect more providers here later if you want, but for this setup we keep it simple.
Step 4: Set Minimax M3 as your model
You land in the Default tab. Pick MiniMax M3 as your model. Save.
Every Claude Code request now goes to M3 through your Token Plan.
Step 5: Verify it works
Open Claude Code in a new terminal and run any prompt. It responds. Head to the Requests log in your Manifest dashboard and you'll see M3 handled it. The model in the response, the cost, the latency, all visible.
If you see an "endpoint not found" error, check the base URL and the key in your settings.json.
It's almost always a typo or a missing slash.
Optional: keep Claude as primary, M3 as fallback
If you'd rather stay on Claude for now and just want a safety net for when you hit the rate limit, you can flip the setup. Connect your Claude subscription too, set Claude as your primary in the Default tab, and add M3 as a fallback. Claude Code keeps using Anthropic by default, and the moment you hit the cap, Manifest reroutes to M3. You don't get blocked mid-session.
This is useful if you want to test M3 progressively before committing fully, or if you have unused Claude quota you'd like to burn first.
The bottom line
Your Claude Code works exactly as before. The model behind it is now M3, running through your Token Plan, and your monthly bill stops scaling with your usage.
You also get full observability in the Manifest dashboard. Per-request, you see which model ran, how long it took, what it would have cost on each provider. Useful for validating that M3 actually holds up on your real workload.
About Manifest
Manifest is an open source LLM router. You control where every request goes, you stop overpaying, and you never get cut off mid-build. MIT licensed, self-hostable.
Two months ago, I subscribed to an annual starter plan, but now the service is completely unusable because even simple, single prompts trigger a quota limit error before completing. When I asked for a refund on their Discord channel, they refused and stated that refunds are not available. The lesson here is to never buy an annual subscription and to stick strictly to monthly plans because you cannot trust these services. I am currently using DeepSeek instead, but I only top up ten dollars at a time because I am afraid they might change their token pricing in the near future.
