Models

Strongest Claude Opus model for coding, agents, and professional 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.

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

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

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

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

Claude model for creative writing, analysis, and controlled agent workflows

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.

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

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

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

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

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

Default frontier GPT for coding, computer use, research, and knowledge work

Agent-ready GPT for coding and computer-use workflows at a lower cost

Open MoE flagship with million-token context for coding and long agent runs

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy