Models

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

Flagship GLM model for long-horizon coding, agents, and complex project delivery

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

Native multimodal GLM model for efficient coding and long-horizon agent tasks

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

xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk

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.

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

Open flagship GLM for long-horizon coding agents and million-token context 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.

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

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

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

Top Claude Opus tier for the hardest reasoning, coding, and long-horizon agents

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

Stronger Opus tier for advanced software work and high-stakes reasoning

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

High-end Claude for difficult coding, planning, and slower expert reasoning

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

Claude workhorse for coding agents, careful analysis, and production cost control

MiniMax multimodal model for long-context coding, perception, and agent planning

Strong GLM coding model for agentic engineering, terminals, and repository generation

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

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

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

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

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.

Open MiniMax flagship for coding agents, office automation, and complex environments