Available neural network models

ELITE
Show cost in Caps
Cost in dollars
ModelMax. response length (in tokens)Context size (in tokens)Prompt cost (per 1M tokens)Response cost (per 1M tokens)
o3-mini-high100 000200 0001,14,4
o1100 000200 0001560
o1-mini65 536128 0001,14,4
gpt-4o4 096128 0002,510
gpt-4o-mini16 384128 0000,150,6
o3-mini100 000200 0001,14,4
gpt-4-turbo4 096128 0001030
gpt-44 0968 1913060
* Our markup on these prices is 5%, which is included in the cost of packages except Basic (Premium and higher)
Cost of using Whisper API 3000 caps/minute
Cost of using TTS 7.5 caps/symbol
Cost of using TTS HD 15 caps/symbol

To generate images:

Cost per generation in Dall-e model0,04 USD / 20 000 CAPS
Cost per generation in Flux model0,08 USD / 40 000 CAPS
Cost per generation in Stable Diffusion model0,053 USD / 26 250 CAPS
Premium: 200000 ChatGPT-4-Turbo tokens. Approximately 640000 English characters. Enough to write the novel "The Master and Margarita" or to generate 300 images.
Elite: 2000000 ChatGPT-4-turbo tokens. Approximately 6400000 English characters. Enough to write the novel "War and Peace" or to generate 3000 images.
The price of caps is tied to the price of the base version of GPT-3.5 tokens on the OpenAI website. A change in price may occur if the US dollar exchange rate fluctuates significantly against other currencies. Currently, 1 000 000 Caps are worth 1.4 USD. To convert the value of GPT-3.5 tokens from dollars to Caps, you can use the following formula: Number of Caps = (Cost of ChatGPT-3.5 tokens in dollars / Cost of 1 000 000 Caps in dollars) × 1 000 000
Embeddings:

Model embeddings available through our API.

Cost in CapsCost in dollars
ModelEmbedding dimensionPrompt cost (per 1 token)Prompt cost (per 100,000 tokens)
text-embedding-3-largeThe most efficient embedding model
3 0720,0980,13
text-embedding-3-smallIncreased performance compared to the 2nd generation ada embedding model
1 5360,0150,02
text-embedding-ada-002The most powerful 2nd generation embedding model, replacing 16 first generation models
1 5360,0750,1
text-embedding-3-largeThe most efficient embedding model
3 072Embedding dimension
0,098Prompt 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
0,015Prompt 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
0,075Prompt cost (per 100,000 tokens)
0,1Prompt cost (per 100,000 tokens)