Models

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.

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Flagship GLM model for long-horizon coding, agents, and complex project delivery

GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation.

Claude model for long-running agentic coding and knowledge work

Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

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.

OpenAI model for complex coding and agentic workflows

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Claude model for demanding reasoning and long-horizon agentic work

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

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

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

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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