Models

Native multimodal GLM model for efficient coding and long-horizon 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

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

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

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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

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

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

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

Advanced Gemini model for complex reasoning, coding, and multimodal analysis

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

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

Fast Gemini workhorse for multimodal apps where latency and price matter

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