Which llm should you use? Tokeen Monster automatically combines models and multiple tools for you

IconThe new AI Chatbot platform launched the ALPHA preview, aimed at changing how users interact with large language models (LLMS).

It was developed by Matt Schumer, co -founder and executive director of Others and Hit Ai Airsant Assistant Hyperrite AiTOKEN MONSTER’s main sale point is its ability to direct the user’s claims to the best LLMS available for the job that is presented, providing improved outputs by taking advantage of the strengths of multiple models.

There are seven major llms currently available through a distinctive symbol monster. Once the user creates something in the admission box, Token Monster uses the pre -expression processes that were developed by repetition by SHUMER himself to automatically analyze the user inputs, define a mixture of multiple models available and associated tools that are best suited to answer, then provide a combined response that benefits from the mentioned strengths. Includes LLMS available:

• Anthropor Claude 3.5 Sonata
• Human Claude 3.5 OPUS
• Openai GPT-4.1
• Openai GPT-4O
• Confusion AI PPLX (search)
• Openai O3 (for thinking)
• Google Gemini 2.5 Pro

Unlike other Chatbot platforms, Taken Monster automatically determines any LLM is the best for specific tasks-as well as the tools that link LLM will be useful such as searching for web or coding environments-and coordinating a multi-mode workflow.

“We are only building conductors into everything and then a system that decides what to use it,” Schumer said.

For example, Claude may be used for creativity, O3 to think, and PPLX to search, among other things. This approach removes the need for users to choose the appropriate model manually for each router, which simplifies the process for anyone who wants high -quality and designed results.

The most prominent feature

Alpha Preview, which is currently releasing to subscribe to Tokenmonster.i, allows users to download a set of file types, including Excel, PowerPoint and Docs.

It also includes features such as web extract, ongoing conversation sessions, and “fast mode” that automatically wanders to the best model without the user’s insertion.

In the heart of TOKEN MONSTER, OpenROUTER, a service belonging to an external authority that works as a gateway for several LLMS, which has invested a small amount, by accepting it.

This architecture allows the distinctive symbol of the monster in a set of models of various service providers without the need to build separate integration for each one.

Pricing and availability

As of now, Taken Monster does not charge flat monthly fees.

Instead, users only pay for the symbols they consume through OpenRouter, making them flexible for different levels of use.

According to SHUMER, this model was inspired by Cline, a tool that enables high spending users to reach the unlimited AI power, allowing them to achieve better outputs by using more mathematical resources.

The most richer LLM workflow tasks produce the richer LLM responses

AI MONSTER TOKEN MONSTER work tasks extend beyond the simple directed router.

In one examples, Chatbot may start with a research phase using applications programming facades to search on the web, passing this data to O3 to determine the information gaps, then create a detailed chart with Gueini 2.5 Pro, and the text with the text with Clauds OPUS, and refine it using Claude 3.5 Sonnet.

This multi -step synchronization is designed to provide more richer and more complete answers than one LLM that may be able to generate on its own.

The platform also includes the ability to save the sessions, while storing data safely using the Open Source Online database service Supabase. This ensures that users can return to continuous projects without losing their work, while continuing to give them control of the data that is saved and what is fast.

Unconventional CEO

In a noticeable experience, Token Monster driving was delivered to the Claude model for Antarbur.

Schumer announced that he is committed to following every decision made by “CEO Claude”, describing it as a test to see if Amnesty International can manage business.

He wrote on X.

Exit from controversy 70-b

TOKEN MONSTER’s launch comes less than a year after SHUMER faced a controversy over its launch and final retreat of 70b, which is a loud return from Lama’s Lama 3.1 that was initially described as not looking for the most important source in the world.

Shomer apologized and said that the cases were born from the mistakes made because of the speed. The episode emphasized the challenges and risks of rapid artificial intelligence development and the importance of transparency in typical versions.

Next MCP integration

Schumer said that his team on the distinctive symbol also explores new possibilities, such as integration with the McP -context protocol (MCP) servers that allow web sites and companies to use LLMS using their knowledge, tools and products to achieve high -ranking tasks from just a text or generate pictures.

This can enable the distinctive symbol monster to contact the user’s internal data and services, which opens its capabilities to deal with tasks such as managing customer support tickets or communicating with other business systems.

Schumer confirmed that the symbolic monster is still in its early stages. Although it already supports a set of strong features, the platform remains a alpha product and is expected to see repetitions and fast updates as more users advance. “We will continue to repeat and add things,” he said.

Promising experience

For users who want to take advantage of the common power of multiple LLMS without hassle to switch models, Monster Token can be an attractive option. It is designed to work for people who do not want to spend hours of change and switching in claims or testing different models themselves, instead allowing the automatic guidance of the system and the functioning of multi -steps with complexity.

With the growth of the tokeen Monster capabilities, it will be interesting to know how to adopt users and companies-and how to try it with the management of artificial intelligence. Currently, it is a promising addition to the expanded rapid scene in AI Chatbots and digital assistants.

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