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.

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

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

Claude model for creative writing, analysis, and controlled agent 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

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

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

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

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

Fast Gemini workhorse for multimodal apps where latency and price matter

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

Deliberate o-series reasoner for hard math, coding, and multi-step analysis

Long-lived GPT workhorse for coding, instruction following, and production apps

Affordable GPT-4.1 lane for fast coding help and structured extraction

Omni-era GPT for multimodal chat, practical coding, and general assistants