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7 results for "multimodal AI"
Tencent released Hunyuan Hy4, a 770-billion-parameter open-weight model with vision understanding, computer-use capabilities, and a 1M-token context window — the largest openly released Chinese AI model to date.
Mistral has open-sourced the weights for Mistral Large 4 — nicknamed Le Chonk — making it the largest open-weight multimodal model available. The 1.05 trillion-parameter release includes day-one vLLM support for self-hosted deployment.
Liquid AI has launched LFM3, a model family that processes text, images, and audio within a single shared architecture — now available locally via Ollama on all major platforms.
Google released Gemma 4 12B under Apache 2.0 on June 3, adding audio, vision, and a 256K context window to an openly licensable model — making frontier multimodal AI accessible without API fees for the first time.
NVIDIA released Nemotron 3 Nano Omni, a 30B-parameter open model delivering 9x the throughput of comparable omni models — a direct play to own the agentic AI stack, not just the chips.
Meta debuted Muse Spark on April 8 — a proprietary multimodal model from its new Superintelligence Labs, marking a sharp break from the open-source Llama playbook.
Meta Superintelligence Labs launched Muse Spark, a natively multimodal model with tool use and multi-agent capabilities, backed by $135B in 2026 AI capex.