Perceptron Mk1

Perceptron Mk1.5

Perceptron Mk1.5 is a multimodal reasoning model for visual analysis and physical agents. It accepts text, images, video, and audio, supports tool calling and structured output, and can return spatial annotations such as points, boxes, polygons, and tracks.

ERNIE Light DT 1.0 (Intl)

ERNIE Light DT 1.0 (Intl) is Baidu's text model with Baidu Sparse Attention for working with long conversations and documents. It supports tool calling, structured output, a 1,024,000-token context window, and up to 131,072 output tokens. Choose max, high, or low reasoning effort, or none to disable reasoning.

Gemini 4 Carbon

Google's Gemini 4 Carbon is a reasoning model for complex coding, scientific and mathematical problem solving, and multi-step tasks that use tools. It accepts text, images, audio, video, and PDFs and produces text, with tool calling and structured outputs. Its 1,048,576-token context is shared across input, thinking, and output. Responses support up to 32,768 combined thinking and output tokens, with low, medium, and high thinking levels; medium is the default.

Muse Ember

Meta's Muse Ember is the smallest and most efficient Muse model, built for the work agents repeat all day: tool calls, coding-agent subtasks, routing, and extraction. It accepts text, images, audio, video, and PDF documents across a one-million-token context window, supports tool calling and structured output, and always reasons before answering.

Claude Fable 5.2

Anthropic's Claude Fable 5.2 supports demanding reasoning, coding, and long-running agentic work, with text, image, and PDF inputs, tool calling, and structured outputs. It has a 1M-token context window and up to 128K output tokens. Adaptive thinking is always on, with five effort levels. Prompts and outputs are retained for 30 days; Zero Data Retention is not available.

Nex N2.6

Nex N2.6 is Nex AGI's agentic model for coding and long-running tasks that use tools. It accepts text and images, produces text, and supports tool calling and structured output within a 262,144-token context window. Reasoning is always enabled, with medium and high effort levels.