make it so cheap that it is “invisible” to the user

DeepSeek is the spearhead when we talk about artificial intelligence from China. Not only does it have a great performancebut the own Microsoft has raised the alarm by pointing out that its policy is allowing it to gain users in markets in which others such as OpenAI has it more difficult. Other companies like Tencent or Alibaba are taking giant steps in the fight for AI, and a few days ago ByteDance –TikTok– presented a Seedance 2.0 which is impressive… and now it’s giving you headaches.

But the great ones are not the only ones, and with a China focused on the development of robotics and AIwe must talk about other smaller ‘players’. Zhipu AI and MiniMax are two of the “tigers“that, in just a few years, have raised hundreds of millions of dollars and that have models that have a radically different philosophy to that of OpenAI and other Western giants.

Their models are sold as life companions, tools that people can use on a daily basis without worrying about the price. And, within that speech, MiniMax just launched the M2.5, a model that wants to become a “digital employee” and that its managers have classified as its first “frontier model” so cheap that it is not worth measuring the price.

AI too cheap to worry about price

M2.5 is now official and, as stated South China Morning PostMiniMax did not want to waste the opportunity to launch it in a hectic week for the AI ​​industry in China. Technically, M2.5 is an LLM – large language model – that can handle about 230 billion total parameters, but only uses 10 billion per token. Being a Mixture of Experts system, each call only involves the experts directly necessary to resolve the request.

Bringing the figure down to earth, that means that it is a capable model, but by user request does not use its full potentialwhich implies low inference costs and very low prices for users. Those responsible for it claim that the price is just one dollar per hour of continuous operation, spending 100 tokens per second. This means that you can have an “agent” working continuously throughout that time at a price between 10 and 20 times lower than other models such as Opus, Gemini 3 Pro either GPT-5.

Such an aggressive policy makes M2.5 a model “too cheap to quantify,” according to those responsible. facilitating that mass adoption because the user can stop optimizing each order he gives to the AI. That phrase “too cheap to put in” it’s a wink to the historic comment that electricity from nuclear energy would be too cheap to measure.

Internal score in different tests | Image: MiniMax

And something important is that M2.5 is not a simple chatbot. It is available on platforms such as Ollama, HuggingFace, ModelScope in China or GitHub, and MiniMax itself points out that 30% of the company’s internal tasks are already carried out by M2.5 itself. Furthermore, 80% of new code is generated by the model. That is, it is more optimized for working alone than for chatting. This code created by code thing is not unique to M2.5, and Codex and Opus is also in this boat.

The model has already been put to the test and, although in some tasks it achieves notable results, especially compared to other models open-weightits score is far from that of the closed models. In the results internal from the company itself, managed to double the score of the previous model, the M2.1, but as SCMP points out, these internal benchmark scores are difficult to verify independently.

Internal benchmark in coding | Image: MiniMax

But, in the end, whether more or less capable compared to other models, MiniMax M2.5 is another example of the strategy that China is pushing with artificial intelligence. While the United States is striving to demonstrate that it has increasingly powerful and capable proprietary models, AI is in a narrative in which aims to promote cheaper and more useful models for the user.

This implies not only that they have a good performance/price ratio, but also that they can run on everyday devices without enormous computing power. And now that, supposedly, certain Chinese companies You will be able to get your hands on some of the best GPUs of NVIDIA to train AI, the boost to that strategy may be notable.

Images | MiniMax (edited)

In Xataka | There is another race equally important as the one for chips to win AI and in that China takes the lead