15 results for “multimodal AI”
Alibaba Cloud has launched a unified AI assistant platform that brings together chatbot interaction, image and video understanding, image generation. The platform's approach reflects a broader industry shift toward unified, multimodal AI.
Google DeepMind launched agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite, cutting token use by up to 88% and costs by up to 66% while boosting accuracy. The feature lets models dynamically scan video instead of fixed-rate sampling, available today via the Gemini API.
Black Forest Labs has introduced FLUX 3, a new multimodal foundation model that jointly learns from images, video, and audio within a single unified. The unified multimodal approach addresses a fundamental limitation of modality-specific.
DeepSeek open-sourced its experimental V4-Flash-Vision-Exp multimodal model on Hugging Face under MIT license on August 31, 2026. The release gives developers local access to the 305B-parameter vision-language model that previously ran only on DeepSeek's API platform.
Mistral AI has released Shieldstral, a 3-billion-parameter open-weight content moderation model that the company says matches the safety performance. Content moderation has traditionally forced a trade-off between coverage and cost.
Alibaba's Qwen team released Qwen3.8-Flash-Next, a 125B-parameter multimodal MoE model with 6B activated parameters and 51B N-gram embeddings. The open-weight preview of Qwen4's architecture cuts training cost to one-ninth of its predecessor while leading coding and office-task benchmarks.
SenseTime fully open-sourced SenseNova U1, a native unified multimodal model that fuses vision and language without a vision encoder or VAE. The 8B-parameter release matches commercial models on infographic generation and adds native 4K output in its U1.5 update.
Z.ai released GLM-5.3-Flash, a 320B-parameter multimodal model with only 18B active parameters using hybrid sparse-linear attention. The MIT-licensed model approaches Claude Opus 4.8 on coding benchmarks at one-tenth the inference cost of its predecessor.
SenseTime has released the preview version of SenseNova U1.5-Lite-Preview, a lightweight unified multimodal model that packs 8 billion. The release arrives at an inflection point where the multimodal model competition is shifting from raw.
ByteDance has officially launched SeedRealtime, a native audio-visual full-duplex large language model that unifies audio, video, and text within. The launch represents a significant shift in how multimodal AI systems handle real-world.
Meta has introduced Muse Spark 1.1, a multimodal AI model built for coding, reasoning, enterprise workflows, and autonomous agents. The launch also includes public preview access to the Meta Model API, giving developers a more direct way.
Google is expanding Google Vids with personal AI avatars that can look and sound like the account holder. Personal AI avatars are becoming a major feature category for business video tools.