This model processes text input and generates text responses, capable of handling up to 260 pages of reading material and producing outputs up to 8.1 pages long. It is specifically designed to think through problems before providing an answer, making it suitable for complex tasks that require careful consideration. This approach sets it apart from other models by prioritizing internal reasoning. However, it cannot access real-time information from the internet.
≈0,060 DAper message
↑ 26,63 DA↓ 66,57 DAper 1M tokens
+2
by LiquidAI · Nov 6, 2026This model is designed to handle text, pictures, and video inputs, allowing it to read up to 130 pages of content. It specializes in generating and editing video clips, producing outputs that include both text and moving images. What sets this model apart is its native ability to process and generate video content directly. It is not suitable for tasks requiring external tool usage or the creation of structured data formats.
≈2,00 DAper message
↑ 499,25 DA↓ 2 995,52 DAper 1M tokens
+1
by Google · Nov 5, 2026This model processes text input up to 260 pages and produces text output up to 250 pages. It is best suited for complex instruction following and managing multi-turn conversations for automated workflows. A key feature is its ability to act as a responsive agent and utilize provided tools. However, it does not have the capability to search the web or access external information.
≈0,012 DAper message
↑ 4,99 DA↓ 14,98 DAper 1M tokens
+2
by inclusionAI · Nov 5, 2026This model accepts text, pictures, and videos as input, allowing it to read up to 130 pages of content. It specializes in creating and editing video content, converting descriptions or pictures into moving images. A key feature is its ability to search the web for information while processing complex visual data. However, it does not utilize external tools or generate structured data formats.
≈2,00 DAper message
↑ 499,25 DA↓ 2 995,52 DAper 1M tokens
+1
by Google · Nov 4, 2026This model accepts text and pictures as input and produces text as output. It can process up to 1000 pages of material at one time and generate responses up to 65 pages long. It is designed for complex, real-world productivity tasks that require planning and the use of specific tools. However, it cannot access the internet to find new information.
50 % offWas 0,70 DA0,70 DA
≈0,35 DAper message
↑ 138,79 DA↓ 416,21 DAper 1M tokens
+2
by Tencent · Nov 4, 2026This model accepts text input and produces text output. It can process up to 16 pages of material and generate responses up to 14 pages long. Its primary strength lies in its ability to utilize external tools to complete complex tasks. However, it cannot search the internet or perform complex, multi-step reasoning before responding.
≈0,17 DAper message
↑ 66,57 DA↓ 199,70 DAper 1M tokens
This model is designed to convert spoken language into written text. It accepts audio input and produces a complete transcription. It is a specialized version of a known speech processing model, optimized to improve the accuracy of word recognition. Because it is designed specifically for speech-to-text, it is not suitable for tasks requiring complex reasoning or image analysis.
0,33 DAper minute of audio
↑ 0,0055 DAper second of audio
This model accepts text and pictures as input to generate numerical representations of the content. It can process up to 120 pages of material simultaneously. Its design focuses on being a fast and economical option for content representation tasks. The model is limited to processing and outputting these representations and cannot perform tasks requiring complex reasoning or generating new written material.
≈0,027 DAper page
↑ 26,63 DAper 1M tokens