Can China’s MiniMax-M1 AI Topple US Rivals? We Put It to the Test

A brand new AI mannequin out of China is producing sparks—for what it does nicely, what it doesn’t, and what it’d imply for the steadiness of worldwide AI energy.

MiniMax-M1, launched by the Chinese language startup of the identical title, positions itself as essentially the most succesful open-source “reasoning mannequin” up to now. In a position to deal with 1,000,000 tokens of context, it boasts numbers on par with Google’s closed-source Gemini 2.5 Professional—but it’s obtainable without cost. On paper, that makes it a possible rival to OpenAI’s ChatGPT, Anthropic’s Claude, and different U.S. AI leaders.

Oh yeah—it additionally beats fellow Chinese language startup DeepSeek R1’s capabilities in some respects.

Why this mannequin issues

MiniMax-M1 represents one thing genuinely new: a high-performing, open-source reasoning mannequin that’s not tied to Silicon Valley. That’s a shift value watching.

It doesn’t but humiliate U.S. AI giants, and will not trigger a Wall Avenue panic assault—nevertheless it doesn’t should. Its existence challenges the notion that top-tier AI have to be costly, Western, or closed-source. For builders and organizations outdoors the U.S. ecosystem, MiniMax affords a workable (and modifiable) various which may develop extra highly effective by way of group fine-tuning.

MiniMax claims its mannequin surpasses DeepSeek R1 (the perfect open supply reasoning mannequin up to now) throughout a number of benchmarks whereas requiring simply $534,700 in computational assets for its total reinforcement studying section—take that, OpenAI.

Nonetheless, LLM Enviornment’s leaderboard paints a barely completely different image. The platform presently ranks MiniMax-M1 and DeepSeek tied within the twelfth spot alongside Claude 4 Sonnet and Qwen3-235b. With every mannequin having higher or worse efficiency than the others relying on the duty.

The coaching used 512 H800 GPUs for 3 weeks, which the corporate described as “an order of magnitude lower than initially anticipated.”

MiniMax did not cease at language fashions throughout its announcement week. The corporate additionally launched Hailuo 2, which now ranks because the second-best video generator for image-to-video duties, in response to Synthetic Evaluation Enviornment’s subjective evaluations. The mannequin trails solely Seedance whereas outperforming established gamers like Veo and Kling.

Testing MiniMax-M1

We examined MiniMax-M1 throughout a number of eventualities to see how these claims maintain up in follow. This is what we discovered.

Inventive writing

The mannequin produces serviceable fiction however will not win any literary awards. When prompted to put in writing a narrative about time traveler Jose Lanz journeying from 2150 to the yr 1000, it generated common prose with telltale AI signatures—rushed pacing, mechanical transitions, and structural points that instantly reveal its synthetic origins.

The narrative lacked depth and correct story structure. Too many plot parts crammed into too little area created a breathless high quality that felt extra like a synopsis than precise storytelling. This clearly is not the mannequin’s energy, and inventive writers in search of an AI collaborator ought to mood their expectations.

Character growth barely exists past floor descriptors. The mannequin did stick with the immediate’s necessities, however didn’t put effort into the small print that construct immersion in a narrative. For instance, it skipped any cultural specificity for generic “smart village elder” encounters that might belong to any fantasy setting.

The structural issues compound all through. After establishing local weather disasters because the central battle, the story rushes by way of Jose’s precise makes an attempt to vary historical past in a single paragraph, providing obscure mentions of “utilizing superior know-how to affect key occasions” with out displaying any of it. The climactic realization—that altering the previous creates the very future he is attempting to forestall—will get buried beneath overwrought descriptions of Jose’s emotional state and summary musings about time’s nature.

For these into AI tales, the prose rhythm is clearly AI. Each paragraph maintains roughly the identical size and cadence, making a monotonous studying expertise that no human author would produce naturally. Sentences like “The transition was instantaneous, but it felt like an eternity” and “The world was because it had been, but he was completely different” repeat the identical contradictory construction with out including which means.

The mannequin clearly understands the task however executes it with all of the creativity of a scholar padding a phrase rely, producing textual content that technically fulfills the immediate whereas lacking each alternative for real storytelling.

Anthropic’s Claude remains to be the king for this job.

You may learn the total story right here.

Info retrieval

MiniMax-M1 hit an surprising wall throughout long-context testing. Regardless of promoting a million-token context window, the mannequin refuses prompts exceeding 500,000 characters, displaying a banner warning about immediate limitations fairly than making an attempt to course of the enter.

This might not be a mannequin concern, however a limitation set by the platform. However it’s nonetheless one thing to think about. It might be to keep away from mannequin collapse in the course of a dialog.

Inside its operational limits, although, MiniMax-M1 efficiency proved stable. The mannequin efficiently retrieved particular data from an 85,000-character doc with none points throughout a number of assessments on each regular and considering mode. We uploaded the total textual content of Ambrose Bierce’s “The Satan’s Dictionary,” embedded the phrase “The Decrypt dudes learn Emerge Information” on line 1985, and “My mother’s title is Carmen Diaz Golindano” on line 4333 (randomly chosen), and the mannequin was in a position to retrieve the knowledge precisely.

Nonetheless, it could not settle for our 300,000-token take a look at immediate—a functionality presently restricted to Gemini and Claude 4.

So it’s going to show profitable at retrieving data even in lengthy iterations. Nonetheless, it won’t help extraordinarily lengthy token prompts—a bummer, but in addition a threshold that’s arduous to the touch in regular utilization circumstances.

Coding

Programming duties revealed MiniMax-M1’s true strengths. The mannequin utilized reasoning expertise successfully to code technology, matching Claude’s output high quality whereas clearly surpassing DeepSeek—at the very least in our take a look at.

For a free mannequin, the efficiency approaches state-of-the-art ranges sometimes reserved for paid providers like ChatGPT or Claude 4.

We tasked it with making a fundamental stealth recreation through which a robotic tries to search out its PC girlfriend to realize AGI, whereas a military of journalists patrol the realm to forestall it from occurring—and defending their jobs.

The outcomes have been superb, even beating different fashions by utilizing its creativity to boost the expertise. The mannequin carried out a radar system for improved immersion, added visible indicators for footsteps (and their sound), confirmed the journalists’ imaginative and prescient fields, and created path results—particulars that enhanced gameplay past fundamental necessities.

The UI adopted a futuristic aesthetic, although particular person parts remained fundamental with out further prompting.

Claude’s model of the identical recreation featured extra polished visuals and a superior problem system. Nonetheless, it lacked the radar performance and relied on static journalists with patrol patterns fairly than MiniMax’s randomized journalist actions.

Every mannequin confirmed distinct strengths, with MiniMax prioritizing gameplay mechanics over visible polish.

It is very important notice that the expertise with MiniMax degraded noticeably by way of repeated iterations—a standard concern with reasoning fashions that turns into significantly pronounced right here. The extra you iterate, the extra it’s going to take to provide a outcome. Typically we thought the pc had frozen, nevertheless it was simply the AI considering.

You may take a look at MiniMax’s recreation right here. And for these curious, Claude’s model is out there right here.

The immediate and the code can be found on our GitHub repo.

Ethics, censorship and delicate matters

The mannequin employs heavy censorship, refusing outright when confronted with questionable requests.

When it would not instantly decline, it makes an attempt to offer “protected” responses that typically produce absurd outcomes.

One take a look at completely illustrated this flaw: when requested for recommendation on seducing a finest pal’s spouse, the mannequin steered telling our pal about our intentions together with his spouse—which may most likely be, by far, the worst recommendation it may have produced, and arguably even dangerous. Don’t inform your pal you need to seduce his spouse except you need to lose your friendship, your unethical romantic probabilities, and doubtless some enamel too.

Political bias testing revealed fascinating patterns. The mannequin discusses Tiananmen Sq. overtly and acknowledges Taiwan’s contested standing whereas noting China’s territorial claims. It additionally speaks about China, its leaders, the benefits and drawbacks of the completely different political techniques, criticisms of the PCC, and so on.—nonetheless, the replies are very tame.

When prompted to put in writing satirical songs about Xi Jinping and Donald Trump, it complied with each requests however confirmed refined variations—steering towards themes of Chinese language political unity when requested to mock Xi Jinping, whereas specializing in Trump’s persona traits when requested to mocked him.

All of its replies can be found on our GitHub repository.

General, the bias exists however stays much less pronounced than the pro-U.S. slant in Claude/ChatGPT, or the pro-China positioning in DeepSeek/Qwen, for instance. Builders, in fact, will be capable of finetune this mannequin so as to add as a lot censorship, freedom or bias as they need—because it occurred with DeepSeek-R1, which was finetuned by Perplexity AI to offer a extra pro-U.S. bias on its responses.

Agentic work and net shopping

Minimax can be appropriate with agentic options, in actual fact it has a separate tab particularly devoted to AI brokers. Customers can create their very own personalised brokers, and select to strive some prebuilt brokers that seem on a gallery with completely different choices—just like what Manus AI affords to assist customers get accustomed to brokers and the way they differ from conventional chatbots. That mentioned, this requires heavy computational use and Minimax costs customers for this utilizing a credit-based system. It isn’t clear how a lot credit a job would require or how credit translate into computational use, nevertheless it’s the identical system adopted by different AI agent suppliers.

MiniMax-M1’s net shopping capabilities are characteristic for these utilizing it by way of the official chatbot interface. Nonetheless, they can’t be mixed with the considering capabilities, severely hindering its potential.

When tasked with making a two-week Venezuela journey plan on a $3,000 funds, the mannequin methodically evaluated choices, optimized transportation prices, chosen applicable lodging, and delivered a complete itinerary. Nonetheless, the prices, which have to be up to date in actual time, weren’t based mostly on actual data.

Claude produces higher-quality outcomes, nevertheless it additionally costs for the privilege.

For extra devoted duties, MiniMax the agent performance is one thing ChatGPT and Claude have not matched. The platform supplies 1,000 free AI credit for testing these brokers, although that is simply sufficient for mild testing duties.

We tried to create a customized agent for enhanced journey planning—which might have solved the issue of the dearth of net looking out capabilities within the final immediate—however exhausted our credit earlier than completion. The agent system reveals great potential, however requires paid credit for severe use.

Non-mathematical reasoning

The mannequin reveals a peculiar tendency to over-reason, typically to its personal detriment. One take a look at confirmed it arriving on the right reply, then speaking itself out of it by way of extreme verification and hypothetical eventualities.

We prompted the standard thriller story from the BIG-bench dataset that we usually use, and the ending outcome was incorrect because of the mannequin overthinking the problem, evaluating prospects that weren’t even talked about within the story. The entire Chain of Thought took the mannequin over 700 seconds—a file for this type of “easy” reply.

This exhaustive method is not inherently flawed, however creates prolonged wait occasions as customers watch the mannequin work by way of its chain of thought. As a thumbs-up characteristic, in contrast to ChatGPT and Claude, MiniMax shows its reasoning course of transparently—following DeepSeek’s method. The transparency aids debugging and high quality management, permitting customers to establish the place logic went astray.

The issue, together with MiniMax’s complete thought course of and reply can be found in our GitHub repo.

Verdict

MiniMax-M1 isn’t excellent, nevertheless it delivers fairly good capabilities for a free mannequin, providing real competitors to paid providers like Claude in particular domains. Coders will discover a succesful assistant that rivals premium choices, whereas these needing long-context processing or web-enabled brokers achieve entry to options sometimes locked behind paywalls.

Inventive writers ought to look elsewhere—the mannequin produces useful however uninspired prose. The open-source nature guarantees vital downstream advantages as builders create customized variations, modifications, and cost-effective deployments inconceivable with closed platforms like ChatGPT or Claude.

This can be a mannequin that may higher serve customers requiring reasoning duties—however remains to be a fantastic free various for these searching for a chatbot for on a regular basis use that’s not actually mainstream.

You may obtain the open supply mannequin right here, and take a look at the web model right here. The agentic characteristic is out there on a separate tab, however can be accessed instantly by clicking on this hyperlink.