Models

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

Fast Gemini workhorse for multimodal apps where latency and price matter

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