Agnes 3.0 Qwen debuts with 1M context and multimodal inputs
A model listing describes Agnes AI’s agnes-3.0-qwen as a multimodal reasoning model using hybrid-attention MoE architecture with about 180 billion total parameters and 10 active experts per token. It supports a 1,048,576-token context window, tool calling, text, image, and video inputs, and selectable reasoning effort. Agnes AI says the model led its comparison set on τ³-Banking, came within about one point of the best score on Terminal-Bench 2.1, and outperformed GPT-5.6 Sol (Max) and Claude Opus 4.8 (Max) on IFBench. The supplied report does not independently verify these benchmark claims.
The model combines a 1M-token context window, multimodal inputs, tool calling, and selectable reasoning in a model reported as smaller than most flagship systems included in the comparison. Its agentic and instruction-following performance remains a vendor claim rather than an independently verified result.
| https://huggingface.co/bartowski/Agnes-AI_Agnes-3.0-Qwen-GGUF Model Information submitted by /u/jacek2023 [link] [comments] |
#Agnes AI#agnes-3.0-qwen#Qwen#GPT-5.6 Sol#Claude Opus 4.8#bartowski