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

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

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.

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

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

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

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

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

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

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

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

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

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

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

Codex GPT for repository edits, code review, and practical software agents

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

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

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

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

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

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

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

Upstage's flagship model, specialized for agentic use

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

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

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

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

DeepSeek chat model for instruction following, coding, and analysis

Fast Gemini workhorse for multimodal apps where latency and price matter

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

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

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

Deliberate o-series reasoner for hard math, coding, and multi-step analysis

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

Fast o-series model for compact reasoning, coding, and tool use

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

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

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

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