Models

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.

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

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.

Fast Claude model for responsive assistance, classification, and lightweight agents

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

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

Fast Claude model for everyday coding, agents, and knowledge work

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

OpenAI model for complex coding and agentic workflows

Claude model for long-running agentic coding and knowledge work

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

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

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.

Claude model for demanding reasoning and long-horizon agentic work

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

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

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

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

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

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

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

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

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

xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk

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

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

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

Top Claude Opus tier for the hardest reasoning, coding, and long-horizon agents

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

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

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

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding

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

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

xAI's default Grok for chat, coding, agentic tools, and lower hallucination risk

Stronger Opus tier for advanced software work and high-stakes reasoning

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

Open Gemma instruction model for efficient chat and self-hosted deployments

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

Strong small GPT for coding subagents, quick tool use, and high-volume work

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks

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

Reasoning-first Gemini preview for agentic coding and complex problem solving

Claude workhorse for coding agents, careful analysis, and production cost control

Large open Qwen multimodal MoE for visual agents and long technical tasks

Coding-optimized GPT model for repository edits, reviews, and agentic software work

High-end Claude for difficult coding, planning, and slower expert reasoning