Models

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

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

Agentic coding model from Poolside in the XS size class for local deployment

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

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

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

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

xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk

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

Quality-first multi-agent model for hard research, analysis, and competitions

Open flagship GLM for long-horizon coding agents and million-token context work

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

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

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

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

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

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

Top Claude Opus tier for the hardest reasoning, coding, and long-horizon agents

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

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

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

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Balanced Mistral model for enterprise assistants, multilingual work, and tools

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

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

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

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

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

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

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

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

Flagship Qwen model for complex reasoning, coding, and agentic workflows

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Stronger Opus tier for advanced software work and high-stakes reasoning

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

Strong GLM coding model for agentic engineering, terminals, and repository generation

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

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

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

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Open MiniMax flagship for coding agents, office automation, and complex environments

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

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

Fast Mistral production model for chat, extraction, and cost-sensitive agents

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

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