Models

Near-Astra performance for complex coding, computer use, and professional work at a lower cost.

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

Everyday Claude agent model for coding, planning, browsing, and general work

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.

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

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

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.

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.