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Provider directory
Compare 6 distinct Tensorx models represented in Tavory across text and chat, video generation. Regional duplicates are consolidated into canonical model pages.
Tavory is an independent AI workspace and does not represent a manufacturer relationship unless explicitly stated. Model ownership and trademarks remain with their respective providers.
Distinct models
6
Categories
text, video
Catalog policy
Regional duplicates consolidated
Tensorx
DeepSeek V4 Pro (0813) is DeepSeek's flagship model for advanced reasoning, coding, and agentic workflows. This snapshot brings a 1M token context window with strong function calling and tool choice support, designed for long horizon tasks over large codebases and complex multi step tool use.
Tensorx
Kimi K2.7 Code is a coding focused model in Moonshot AI Kimi K2 family, built to complete end to end programming tasks reliably over long contexts. It uses a native multimodal mixture of experts architecture that accepts text and image input, and it always operates in a thinking mode, preserving full reasoning content across multi turn conversations. With a 256K token context window, it targets long horizon coding, agentic task decomposition, and multi turn dialogue. The model activates 32B parameters out of roughly 1T total.
Tensorx
MiniMax M3 is a frontier multimodal model with a 1M token context window built on MiniMax Sparse Attention (MSA). It delivers frontier level performance on coding and agentic tasks, outperforming GPT 5.5 and Gemini 3.1 Pro on SWE Bench Pro and approaching Claude Opus 4.7. It natively handles image and video input and is the first open weight model to combine frontier coding, ultra long context, and native multimodality.
Tensorx
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.
Tensorx
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.
Tensorx
Qwen3.8 Flash Next is a fast, efficiency optimized model from Qwen with a 256K token context window. It supports vision input, reasoning, and strong function calling with tool choice, making it well suited for high throughput coding assistants and agentic workflows where speed and cost matter.
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