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.

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

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.

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

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.

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

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

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

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

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

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

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

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