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.

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

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.

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

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

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

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

Music generation model for full-length songs from text or images with vocals and structure

Music generation model for short 30-second clips, loops, and previews from text or image prompts

MiMo omni model for text, image, video, audio, and agents

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

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

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

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

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents