ByteDance
7 articles tagged with ByteDance
ByteDance Seed Launches Seed 2.1 Turbo, a 262K-Context Multimodal Model for Coding Agents
ByteDance Seed has released Seed 2.1 Turbo, a multimodal model targeting coding and long-horizon agent workflows with a 262K token context window. The model is priced at $0.50 per 1M input tokens and $2.50 per 1M output tokens, and is now listed on OpenRouter.
ByteDance Seed Launches Seed-2.0-Code With 262K Context Window for Agentic Coding
ByteDance Seed has released Seed-2.0-Code, a model optimized for agentic coding workflows with a 262K token context window. The model accepts text, image, and video input and is priced at $0.50 per million input tokens and $3.00 per million output tokens.
Report: ByteDance Training 10-Trillion-Parameter Model, Largest in China
The Financial Times reports ByteDance is pretraining an AI model with up to 10 trillion parameters, which would make it three times larger than Moonshot's Kimi K3, currently China's largest model. The claim comes from anonymous insiders and has not been confirmed by ByteDance.
MiniMax H3 Becomes First Open Video Model to Top an AI Video Ranking
MiniMax has released open weights for H3, a 33-billion-parameter video model that ranks first in Video Editing and second in Text-to-Video on Artificial Analysis — the first time an open model has topped a video generation category. The model accepts text, images, video, and audio in a single prompt, though its highest-resolution module remains closed.
ByteDance's Seedance 2.5 Generates 30-Second AI Video Clips With Synced Audio
ByteDance released Seedance 2.5, an AI video model that generates synchronized video and audio in a single pass, producing clips up to 30 seconds long that can be extended further. That's roughly triple the length of Google's Gemini Omni Flash.
ByteDance Open-Sources Bernini-R Video Diffusion Model With Semantic Planning Architecture
ByteDance released Bernini-R, an open-source video generation and editing model that combines an MLLM-based semantic planner with a DiT-based renderer. The model requires Hopper-class GPUs (H100/H800/H200) for optimal performance and supports multiple tasks including text-to-video, video editing, and reference-guided generation.
ByteDance releases Lance, 3B-parameter unified multimodal model handling image and video generation, editing, and unders
ByteDance has released Lance, a 3-billion parameter multimodal model that performs image and video generation, editing, and understanding within a single framework. The model was trained entirely from scratch using 128 A100 GPUs and achieves 84.67% on DPG-Bench and 74% on GenEval, competing with larger models despite its compact size.