Models

Multimodal Kimi model with 1M context and always-on reasoning for coding, 3D creation, financial research, and agentic work

Frontier multimodal coding model with 1M context window and tunable thinking depth

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

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.

Image model for prompt-driven generation, multi-turn editing, and visual design workflows

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.

2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding

Qwen vision-language model for visual reasoning, documents, and agent tasks

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

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.

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

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

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

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

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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

MiniMax multimodal model for long-context coding, perception, and agent planning

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

Image model for prompt-driven generation, editing, and visual design workflows

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

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

Agentic model for autonomous multi-step research, synthesis, and cited reports

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

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

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

Fast GLM vision model for screenshots, documents, and multimodal agent tasks

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

Lightweight ByteDance Seed 2.0 model for low-latency multimodal reasoning and high-volume tasks

ByteDance Seed coding model for multimodal software engineering and long-running agents

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

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

GLM vision model for visual reasoning, documents, and multimodal agents