Models

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

DeepSeek chat model for instruction following, coding, and analysis

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

Tiny GPT-4.1 option for classification, routing, and very high-volume tasks