Models

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

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Open multimodal Qwen MoE for local agents that need vision, audio, and code

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

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Open Gemma instruction model for efficient chat and self-hosted deployments

Fast GLM vision model for screenshots, documents, and multimodal agent tasks

Fast Mistral production model for chat, extraction, and cost-sensitive agents

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

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

Qwen instruction model for multilingual chat, reasoning, and tool use

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

Large open Qwen multimodal MoE for visual agents and long technical tasks

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

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Multimodal reasoning model for visual analysis, planning, and tool use

Flagship Claude model for deep reasoning, coding, and long-horizon agents

Sharper GPT-5 generation for coding, product work, and tool-assisted tasks

Flagship Claude model for deep reasoning, coding, and long-horizon agents

Fast Claude lane for lightweight agents, office tasks, and responsive chat

Fast Claude model for responsive assistance, classification, and lightweight agents

Balanced Claude model for coding, analysis, agent workflows, and cost control

Small GPT-5 for responsive agents, coding help, and everyday automation

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

Google's proven reasoning model for coding, math, and multimodal analysis

Fast Gemini workhorse for multimodal apps where latency and price matter

Balanced Claude model for coding, analysis, agent workflows, and cost control

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

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

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

Mistral vision-language model for image understanding and multimodal chat