I built it as a personal project at first, but want the site to be as transparent as possible. So I made one that shows you exactly which model is responding, lets you watch its reasoning stream live and you can see the tokens counter right in the footer real time. Text only output as of now.
What makes it different: ๐35+ Frontier Models: No tab-switching. Toggle between the latest GPTs, Claude Sonnet 4.5, Llama 4 Scout, DeepSeek, Grok, Gemini, Mistral and more, all in one click. ๐Token Pool Separation: Tokens are separated into Casual and Pro Token pools. Casual models use Casual tokens, Pro and Web Search models use Pro tokens. This allows you to optimize your token usage based on model type. The Tokens are further Divided into Input and Output for each pool. ๐8M Monthly Tokens for $15/mo: 8M tokens per month, split into : 5M Casual Input / 1.5M Casual Output, 1M Pro Input / 500k Pro Output, 100 Web Searches (tokens will be deducted from pro pool) ๐Model Weight: Each model will have a model weight. A model with 0.5x weight will consume only half as many tokens where as a model with 2x weight will consume tokens at twice the rate. ๐Token Transfer System: You can transfer tokens between Input and Output within same pool after a conversion rate is applied, i.e., between Casual Input and Output, and between Pro Input and Output. ๐Real-time Reasoning: Watch the model's full thought process unfold alongside the answer (when supported). ๐Midchat Model Change: You can switch models in the middle of a chat at any given time. ๐Context Window: We have context windows ranging from 32k till 128k tokens depending on the model in use. ๐Data Encryption: We encrypt Prompt Text, AI Response and AI reasoning using AES 256 CBC before they are saved in database. ๐๏ธData Deletion: Hard delete policy is followed once you click on delete chat option. The Solo Dev Promise: No marketing team, no fancy office. Just me, my laptop, and commitment to building something useful.
35+ Models
Access everything from Gemini 3 Pro to GPT-5 Nano in one place. Every model is labeled with its Output Weight and Speed so you can optimize your token usage.
Model Weight
Weights decide how many tokens are consumed per usage. A 0.5x weight means 1 token used only costs you 0.5 from your balance, effectively doubling your usage on lighter models. Lower weight = more efficiency. 0.5x weight = you get 2x token.
Token Pool Separation
Tokens are separated into Casual and Pro Token pools. Casual models use Casual tokens, Pro and Web Search models use Pro tokens. This allows you to optimize your token usage based on model type. The Tokens are further Divided into Input and Output for each pool.
Generous Token Limits
8M tokens per month, split into : 5M Casual Input / 1.5M Casual Output, 1M Pro Input / 500k Pro Output, 100 Web Searches (tokens will be deducted from pro pool)
Token Transfer System
You can transfer tokens between Input and Output within same pool after a conversion rate is applied, i.e., between Casual Input and Output, and between Pro Input and Output.
Context Window
Each Model has a context window, ranging from 32k till 128k depending on the model.
Multimodal input
Upload images, audio, or documents directly into your chats. Our platform supports up to 4 files per prompt (4MB limit), allowing for deep analysis of your data across both Casual and Pro models.
Text Only Output
As of now, AI responses are only text based. Image Generation or file generations are not a part of the subscription
VividLLM was started as my personal project where I wanted to use multiple models within same chat, and later, I decided to turn it into a website
There are no huge list of customers yet, I have launched this website recently.
VividLLM appears to be a capable conversational AI platform, but as I don't have verified independent information about this specific service, you should evaluate it based on your own testing and needs.
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The latest comments about VividLLM on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is VividLLM good? This is an informative page that will help you find out. Moreover, you can review and discuss VividLLM here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.