Models

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.