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

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

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

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.

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

Fast Gemini workhorse for multimodal apps where latency and price matter

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

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

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

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

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

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

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

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

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