Claude-3.7 Sonnet
Best of the week
The o4-mini model with a high level of reasoning_effort for thorough reasoning. Combines speed and multimodality with accuracy in STEM and visual tasks in a context of 200K tokens.
Updated image generator with improved detail, especially for skin and hair, more realistic lighting and reflections. The model creates more dynamic and diverse scenes, moving away from standard stock photo-style images.Model for programming and precise instruction execution with a context of up to 1 million tokens. Surpasses GPT-4o in coding (54.6% on SWE-bench) and instruction following (improvement by 10.5%). 
Enhanced version of the image generation model with support for 4 times higher resolution (up to 4 MP), maintaining a generation speed of 10 seconds per image. The model offers a 'raw mode' for creating more natural images.
Google's model capable of 'thinking' before answering for greater accuracy and performance. Leader on the LMArena platform with advanced capabilities in reasoning, coding, and multimodality (text, audio, images, video).
More neural networks on Bothub
Model from Anthropic, providing enhanced reasoning and adaptability capabilities with the innovative 'extended thinking mode' for flexible choice between quick responses and deep analysis. The model supports a context window of up to 200,000 tokens and a maximum output of 128,000 tokens.
o4 Mini High
Midjourney v7
GPT-4.1
Flux-1.1 Pro Ultra
Gemini-2.5 Pro Preview
Available neural network models
ELITE
Show cost in Caps
* Our markup on these prices is 5%, which is included in the cost of packages except Basic (Premium and higher)
LLM Request
All tariffs
Used tokens + 0.01 USDper 1 request
Special attention: The use of Easy Writer is charged differently. For each text generation, Easy Writer charges an additional 0.1 USD per request + the token cost as specified above for a regular LLM request.
Image Generation
MidJourney — Relax
0,03 USD / 20000 CAPSFor 1 generation
MidJourney — Fast
0,06 USD / 40000 CAPSFor 1 generation
MidJourney — Turbo
0,12 USD / 80000 CAPSFor 1 generation
Dall-E
0,03 USD / 20000 CAPSFor 1 generation
Flux
0 USD / 1666 CAPSFor 1 generation
Stable Diffusion
0,04 USD / 26250 CAPSFor 1 generation
GPT Image - Square
0,01 USD / 8160 CAPSFor 1 generation
GPT Image - Portrait
0,02 USD / 12240 CAPSFor 1 generation
GPT Image - Landscape
0,02 USD / 12000 CAPSFor 1 generation
Web Search
All tariffs
Used tokens + 0.01 USDper 1 request
Link Analysis
0.01 Capsfor 1 character
Transcription
TTS
7.5 Capsfor 1 character
TTS HD
15 Capsfor 1 character
Transcription
AssemblyAI — nano
2,000 CapsPer 1 minute
AssemblyAI — best
5,500 CapsPer 1 minute
Embeddings
text-embedding-3-largeThe most efficient embedding model
3 072Embedding dimension
0,1Prompt cost (per 100,000 tokens)
0,13Prompt cost (per 100,000 tokens)
text-embedding-3-smallIncreased performance compared to the 2nd generation ada embedding model
1 536Embedding dimension
0,01Prompt cost (per 100,000 tokens)
0,02Prompt cost (per 100,000 tokens)
text-embedding-ada-002The most powerful 2nd generation embedding model, replacing 16 first generation models
1 536Embedding dimension
0,07Prompt cost (per 100,000 tokens)
0,1Prompt cost (per 100,000 tokens)
What are Caps?
Caps is the internal currency of the service, used to measure the cost of requests and responses of neural networks. It is fixed and depends on the model complexity: number of parameters, multimodality, and overall power.
- For example:
- ChatGPT-3.5 — ~1 Caps per token
- ChatGPT o1-Pro — ~400+ Caps per token
Still have questions?
What are tokens?
Tokens are units of text processing by the neural network, representing parts of words, entire words, or punctuation marks that determine the cost of requests.
How long will 1 million tokens last?
One million tokens of the GPT-4o model are enough to rewrite “The Brothers Karamazov” by F. M. Dostoevsky.
What to do if I run out of tokens?
Purchase additional Caps in your personal account — https://bothub.chat/profile
Why does the neural network pretend to be another?
The neural network does not know what model it is if it is not specified in the system prompt. The “self-identification” of the model without instruction is influenced by many factors, one of them being the model's data training set.
What is context in a neural network?
Context is the amount of information that the neural network retains in memory during a dialogue, affecting the coherence of responses and understanding of previous requests.
What is the context of different neural network models?
GPT o1 Pro and Claude 3.7 Sonnet support up to 200K tokens, Gemini 2.5 Pro works with 1KK, while Gemini 2.0 Pro supports up to 2KK tokens.
What file formats do models read?
Neural networks process TXT, PDF, DOCX, XLSX, CSV, JSON, XML, HTML, as well as images JPG, PNG, and audio files MP3, MP4.
Can neural networks be used for free?
There are free models with the postfix “:free” and “-exp” that can be used for free through a mini-window on the main page, as well as the model page.
How do neural network models differ from each other?
Models differ in the volume of training data, context size, processing speed, specialization in specific tasks, and ability to work with multimodal content.
How to use models via API?
To integrate models into your applications, you need to obtain an API key in your personal account. More details can be found here: https://bothub.chat/api/documentation/ru.
Can neural networks be used to automate business processes?
Neural networks effectively automate routine tasks of document management, data processing, customer support, and analytics, integrating with existing business systems via API.