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.

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

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

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

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

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

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

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

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

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

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

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

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

Open agentic MoE model (397B total, 17B active) for coding, tool use, and research workflows

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

Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

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

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

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

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

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Newer StepFun flash model for faster agents, coding, and multimodal prompts

Sharper GPT-5 generation for coding, product work, and tool-assisted tasks

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

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

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

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

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

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

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

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

Small GPT-5 for responsive agents, coding help, and everyday automation

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Multimodal reasoning model for visual analysis, planning, and tool use

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

Google's proven reasoning model for coding, math, and multimodal analysis

Low-latency Gemini model for high-volume multimodal and agent workloads

Largest open Gemma 3 instruction model for multilingual text generation and visual understanding