Models

Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and coding evaluations.

Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

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

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

MiMo pro model for strong multimodal reasoning and agent execution

Qwen omni model for text, vision, audio, and multimodal agent tasks

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

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.

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

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

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

Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior

Low-latency audio-to-audio model for real-time speech translation across 70+ languages

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

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

Open Nemotron omni model combining reasoning with text, vision, and audio

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

Vision-language model for embodied reasoning: spatial understanding, task planning, and physical-world agentic robotics

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

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

High-quality, low-latency Live API model for real-time dialogue and voice-first AI applications

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

Nemotron multimodal model for visual reasoning and agentic AI workflows

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

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

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

Fast Grok model for responsive chat, reasoning, and tool-assisted work

Fast Grok model for responsive chat, reasoning, and tool-assisted work

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

Preview Gemini flagship for complex reasoning, coding, and rich multimodal prompts

September 2025 preview of Gemini 2.5 Flash-Lite with better instruction following and multimodal quality

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

Fast Gemini workhorse for multimodal apps where latency and price matter

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

First preview of Gemini 2.5 Flash-Lite, the low-cost, low-latency 2.5 model

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

Preview snapshot of Gemini 2.5 Flash with controllable thinking budgets

Compact Microsoft multimodal model for text, image, and speech understanding

Earlier Gemini Flash workhorse for responsive multimodal apps and tool use