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

Near-Astra performance for complex coding, computer use, and professional work at a lower cost.

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.

Strongest Claude Opus model for coding, agents, and professional work

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

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

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

Claude model for creative writing, analysis, and controlled agent workflows

Everyday Claude agent model for coding, planning, browsing, and general work

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

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

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

Default frontier GPT for coding, computer use, research, and knowledge work

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

Open MoE flagship with million-token context for coding and long agent runs

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

Agent-ready GPT for coding and computer-use workflows at a lower cost

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Reliable GPT generation for broad coding, writing, and tool-assisted product work

Sharper GPT-5 generation for coding, product work, and tool-assisted tasks

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Tencent Hy reasoning model for coding, instruction following, and agent tasks

Upstage's flagship model, specialized for agentic use

Coding-optimized GPT model for repository edits, reviews, and agentic software work

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

Small GPT-5 for responsive agents, coding help, and everyday automation

DeepSeek chat model for instruction following, coding, and analysis

Thinking Kimi model for slower research passes, planning, and hard technical questions

September 2025 Kimi K2 instruction update with a 256K context and improved agentic coding

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

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

Kimi model for long-context chat, coding, and agentic reasoning

Long-lived GPT workhorse for coding, instruction following, and production apps

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

Affordable GPT-4.1 lane for fast coding help and structured extraction

Tiny GPT-4.1 option for classification, routing, and very high-volume tasks

Open GPT reasoning model for self-hosted agents and controllable deployments

Open GPT reasoning model for self-hosted agents and controllable deployments

Omni-era GPT for multimodal chat, practical coding, and general assistants

Flagship model for demanding analysis, coding, and production agent workflows