Models

Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and coding evaluations.

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.

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

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.

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

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

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

Balanced GPT-5.6 model for capable, cost-efficient everyday work

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

OpenAI model for complex coding and agentic workflows

MiMo Flash model for multimodal coding agents and long-context automation

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

Cost-efficient GPT-5.6 model for fast, high-volume workloads

OpenAI's most efficient model for focused, high-volume tasks

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

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

Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.

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

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.

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

Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows

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

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