Models

DeepSeek V4.1 Flash model for reasoning and agentic coding

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.

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

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

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

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

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

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

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

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

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.

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

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

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

Tencent Hy reasoning model for coding, instruction following, and agent tasks

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

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

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

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

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.