Models

Compact GPT model for low-latency assistance and high-volume workloads

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

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

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

Open Nemotron omni model combining reasoning with text, vision, and audio

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

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding

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

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

Initial DeepSeek V4 Flash snapshot for economical reasoning, coding, and million-token agent workloads

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

Image model for prompt-driven generation, editing, and visual design workflows

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

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

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

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

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

Fast Grok coding model tuned for agentic engineering and iterative edits

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

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

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

StepFun flash model for efficient multimodal reasoning, coding, and tool use

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

Fast GLM vision model for screenshots, documents, and multimodal agent tasks

Nemotron model for efficient reasoning, coding, and specialized AI agents

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

Low-latency M2.7 variant for interactive coding plans and agent loops

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

Faster GLM-5 lane for coding agents that need lower latency

Efficient Mistral model for fast chat, extraction, and production assistants

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

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

Grok model for agentic tool use, reasoning, coding, and live assistance

Reasoning Grok for document-heavy analysis and long-horizon tool use

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks

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

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

Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use

Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use

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

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

Qwen instruction model for multilingual chat, reasoning, and tool use