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Token Monster, a brand new AI chatbot platform, has launched its alpha preview, aiming to alter how customers work together with massive language fashions (LLMs).
Developed by Matt Shumer, co-founder and CEO of OthersideAI and its hit AI writing assistant Hyperwrite AI, Token Monster’s key promoting level is its skill to route person prompts to the very best accessible LLMs for the duty at hand, delivering enhanced outputs by leveraging the strengths of a number of fashions.
There are seven main LLMs presently accessible by Token Monster. As soon as a person sorts one thing into the immediate entry field, Token Monster makes use of pre-prompts developed by iteration by Shumer himself to mechanically analyze the person’s enter, resolve which mixture of a number of accessible fashions and linked instruments are greatest suited to reply it, after which present a mixed response leveraging the strengths of mentioned fashions. The accessible LLMs embody:
- Anthropic Claude 3.5 Sonnet
- Anthropic Claude 3.5 Opus
- OpenAI GPT-4.1
- OpenAI GPT-4o
- Perplexity AI PPLX (for analysis)
- OpenAI o3 (for reasoning)
- Google Gemini 2.5 Professional
Not like different chatbot platforms, Token Monster mechanically identifies which LLM is greatest for particular duties — in addition to which LLM-connected instruments can be useful similar to net search or coding environments — and orchestrates a multi-model workflow.
“We’re simply constructing the connectors to the whole lot after which a system that decides what to make use of when,” mentioned Shumer.
As an illustration, it would use Claude for creativity, o3 for reasoning, and PPLX for analysis, amongst others. This strategy eliminates the necessity for customers to manually select the precise mannequin for every immediate, simplifying the method for anybody who desires high-quality, tailor-made outcomes.
Characteristic highlights
The alpha preview, which is presently free to join at tokenmonster.ai, permits customers to add a spread of file sorts, together with Excel, PowerPoint, and Docs.
It additionally contains options similar to webpage extraction, persistent dialog periods, and a “FAST mode” that auto-routes to the very best mannequin with out person enter.
On the coronary heart of Token Monster is OpenRouter, a third-party service that acts as a gateway to a number of LLMs, and into which Shumer has invested a small sum, by his admission.
This structure lets Token Monster faucet into a spread of fashions from completely different suppliers with out having to construct separate integrations for each.
Pricing and availability
As of proper now, Token Monster doesn’t cost a flat month-to-month payment.
As an alternative, customers solely pay for the tokens they eat by OpenRouter, making it versatile for various ranges of utilization.
In response to Shumer, this mannequin was impressed by Cline, a instrument that permits high-spending customers to entry limitless AI energy, permitting them to attain higher outputs by merely utilizing extra compute assets.
Multi-step workflows produce richer LLM responses
Token Monster’s AI workflows prolong past easy immediate routing.
In a single instance, the chatbot may begin with a analysis part utilizing net search APIs, cross that information to o3 for figuring out info gaps, then create an overview with Gemini 2.5 Professional, draft textual content with Claude Opus, and refine it with Claude 3.5 Sonnet.
This multi-step orchestration is designed to offer richer, extra full solutions than a single LLM may have the ability to generate alone.
The platform additionally contains the flexibility to save lots of periods, with information securely saved utilizing the open supply on-line database service Supabase. This ensures that customers can return to ongoing initiatives with out shedding their work, whereas nonetheless giving them management over what information is saved and what’s ephemeral.
A non-traditional CEO
In a notable experiment, Token Monster’s management has been handed over to Anthropic’s Claude mannequin.
Shumer introduced that he’s dedicated to following each determination made by “CEO Claude,” calling it a take a look at to see whether or not an AI can handle a enterprise successfully.
“Both we’ve revolutionized administration endlessly or made an enormous mistake,” he wrote on X.
Rising from the Reflection 70-B controversy
Token Monster’s launch comes lower than a yr after Shumer faced controversy over his launch and ultimate retraction of Reflection 70B, a fine-tuned model of Meta’s Llama 3.1 that was initially touted as the most highly performant open source model in the world, however which rapidly turned topic to criticism and accusations of fraud after third-party researchers had been unable to breed its said efficiency on third-party benchmark assessments.
Shumer apologized and mentioned the problems had been born out of errors made on account of pace. The episode underscored the challenges and dangers of fast AI improvement and the significance of transparency in mannequin releases.
MCP integrations coming subsequent
Shumer mentioned his crew on Token Monster can be exploring new capabilities, similar to integrating with Mannequin Context Protocol (MCP) servers that enable web sites and firms to have LLMs make use of their data, instruments, and merchandise to attain higher-order duties than simply textual content or picture era.
This is able to allow Token Monster to attach with a person’s inside information and providers, opening potentialities for it to deal with duties like managing buyer assist tickets or interfacing with different enterprise techniques.
Shumer emphasised that Token Monster continues to be very a lot in its early levels. Whereas it already helps a collection of highly effective options, the platform stays an alpha product and is anticipated to see fast iterations and updates as extra customers present suggestions. “We’re going to maintain iterating and including issues,” he mentioned.
A promising experiment
For customers who need to reap the benefits of the mixed energy of a number of LLMs with out the effort of mannequin switching, Token Monster may very well be an interesting alternative. It’s designed to work for individuals who don’t need to spend hours tweaking prompts or testing completely different fashions themselves, as an alternative letting the system’s automated routing and multi-step workflows deal with the complexity.
As Token Monster’s capabilities develop, it is going to be attention-grabbing to see how customers and companies undertake it — and the way its experiment with AI-led administration pans out. For now, it’s a promising addition to the quickly increasing panorama of AI chatbots and digital assistants.
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