Articles Tagged "Multimodal"

Qwen-RobotManip

Qwen-RobotManip

Alibaba's generalist VLA model for robotic manipulation, built on Qwen3.5-4B with a DiT action decoder, trained on 38,100+ hours of open-source data, and ranked first on the RoboChallenge generalist track.

Qwen3.7-Plus

Qwen3.7-Plus

Alibaba's first multimodal agent model, combining GUI grounding (ScreenSpot Pro 79.0), 1M-token context, and text-plus-vision input at $0.40/M tokens.

DiffusionGemma 26B

DiffusionGemma 26B

DiffusionGemma 26B is Google DeepMind's open-weight discrete diffusion language model that generates 256 tokens in parallel, reaching 1,100+ tokens/sec on H100 - roughly 4x faster than autoregressive models of the same size.

Ministral 3 14B

Ministral 3 14B

Mistral AI's largest Ministral 3 model - 14B parameters, 256K context, Apache 2.0 license, multimodal, built for local deployment and agentic workflows.

MiniMax M3

MiniMax M3

MiniMax M3 is an open-weight frontier model with a 1M-token context window, native multimodal input, and strong agentic coding at $0.60/M input tokens.

NVIDIA Cosmos 3

NVIDIA Cosmos 3

NVIDIA Cosmos 3 is an open physical AI omnimodel with Mixture-of-Transformers architecture that natively handles text, images, video, sound, and robot actions in a single 16B or 64B model.

Gemini 3.5 Flash Review: When Flash Surpasses Pro

Gemini 3.5 Flash Review: When Flash Surpasses Pro

Gemini 3.5 Flash leads on agentic benchmarks, runs 4x faster than Claude and GPT-5.5, and undercuts both on price - but a hidden long-context weakness and a 3x price hike over its predecessor deserve scrutiny.

Gemini 3.5 Flash

Gemini 3.5 Flash

Google DeepMind's fastest frontier model, hitting 76.2% on Terminal-Bench 2.1 and 289 tok/s, now powering AI Mode in Search for over 1 billion monthly users.