Models

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

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

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

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

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

OpenAI model for complex coding and agentic workflows

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

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

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

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

Efficient model for low-latency assistance, extraction, and routine automation

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

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

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.

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

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

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

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

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

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

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.

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

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

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

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

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

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

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

StepFun flash lane for quick multimodal reasoning and coding assistance