Models

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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