Fusion
Neural Network
Fusion is a multi-model mode: a panel analyzes your request with web search in parallel, synthesizing results into one answer.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 330 000 tokens
How it works Fusion?
Fusion works not as a single neural network, but as a small meeting: your request goes simultaneously to a panel of expert models, each analyzing the task independently, accessing web search and loading pages from links, and then a separate model synthesizes these answers into one final result. Due to parallel analysis and access to sources, this mode is suitable where the cost of error is higher than speed. In BotHub, it is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles based on actual usage—tokens do not expire and do not turn into a subscription. Other models remain nearby in the same window, making it easy to switch between them and compare results, and there is a unified OpenAI-compatible API for integrations; companies have access to contracts, invoices, and an admin panel with limits. Fusion helps analysts compile topic overviews with sources, developers analyze controversial architectural decisions, editors verify facts, and product managers synthesize conflicting opinions into one solution.Frequently asked questions about Fusion
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
Fusion accepts text, documents, and images, and returns text—according to our data, it has a 128,000 token context. It is suitable for working with large documents, image analysis, and text tasks. If you need another model, you can switch to it in the same BotHub window.
According to our data, the maximum response volume for Fusion is up to 330,000 tokens, and the input context is 128,000 tokens. Exact limits depend on the specific task and input data, so you should verify results on long materials in practice.
There is no specific indication of reasoning before answering in our data for Fusion, so we cannot confirm this. The model answers requests and works with documents and images, but it is better to verify conclusions for complex tasks yourself.
There is no indication of function calling or structured JSON output in our data for Fusion, so we cannot guarantee support. If your system requires a strict response format, verify this with a test request before integration.
Yes, according to our data, Fusion accepts not only text but also images and documents. We have no information regarding audio and video, so we cannot confirm their upload—please check with a test request.
There is no quality assessment for Russian in our data, so we cannot make firm promises. Test Fusion with your tasks: if the result is unsatisfactory, you can switch to another model in the same BotHub window without rewriting the integration.