Models

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

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

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

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

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

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

Balanced GPT-5.6 model for capable, cost-efficient everyday work

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.

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

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

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

Cost-efficient GPT-5.6 model for fast, high-volume workloads

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

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

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

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

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.

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

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

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

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

Open Gemma instruction model for efficient chat and self-hosted deployments

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

Strong small GPT for coding subagents, quick tool use, and high-volume work

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

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

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

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

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

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

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