Models

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

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

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

Agentic coding model from Poolside in the XS size class for local deployment

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

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

GLM-5.2-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows

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

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

Lightweight multimodal Qwen model for high-throughput text, image, and video tasks

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

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

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

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

Video generation and editing model for fast, conversational text- and image-to-video workflows

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

Quality-first multi-agent model for hard research, analysis, and competitions

Multi-agent model for routing expert agents across complex analytical tasks

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

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

Restricted Claude model for advanced cybersecurity and biology research workflows

MiMo pro model for strong multimodal reasoning and agent execution

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

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

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

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

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

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

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

Qwen vision-language model for visual reasoning, documents, and agent tasks

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

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

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding

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

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

Initial DeepSeek V4 Flash snapshot for economical reasoning, coding, and million-token agent workloads

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

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

Agentic model for autonomous multi-step research, synthesis, and cited reports

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

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

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

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

Reasoning Grok for document-heavy analysis and long-horizon tool use

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks

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

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