Models

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.

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

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.

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

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

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

Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents

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

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

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

Newer StepFun flash model for faster agents, coding, and multimodal prompts

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

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

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

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

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

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

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

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