Cosmos Reason2 8B

Cosmos Reason2 8B from Nvidia is an 8-billion-parameter multimodal reasoning model positioned for understanding images and video frames alongside text. Its architecture is built on the Qwen3-VL text submodule, configured as an image-text-to-text stack with 36 transformer layers, a hidden size of 4,096, and grouped-query attention using 32 query heads against 8 key/value heads. Feed-forward layers use a 12,288-wide intermediate, the vocabulary spans 151,936 tokens, and the model runs in bfloat16 precision for efficient inference on modern accelerators.

Released under the NVIDIA Open Model License, the model is commercially usable and permits the creation and distribution of derivative works, with NVIDIA disclaiming ownership over generated outputs. The reviewed configuration reports a generous context window of up to 262,144 tokens, supporting long-form reasoning across extended visual and textual sequences. Practically, the model fits use cases such as structured visual reasoning, step-by-step scene understanding, and tool-augmented agent pipelines where the underlying Qwen3-VL lineage offers a familiar multimodal interface for builders working in the open-weights ecosystem.