Models

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Music generation model for short 30-second clips, loops, and previews from text or image prompts

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

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

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

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

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

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

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

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

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

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

Advanced Gemini model for complex reasoning, coding, and multimodal analysis

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

Claude workhorse for coding agents, careful analysis, and production cost control

Large open Qwen multimodal MoE for visual agents and long technical tasks

ByteDance Seed coding model for multimodal software engineering and long-running agents

Lightweight ByteDance Seed 2.0 model for low-latency multimodal reasoning and high-volume tasks

Cost-efficient ByteDance Seed 2.0 model for production chat, analysis, and structured generation

Prior MiniMax coding model for agent workflows, office edits, and automation

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

High-end Claude for difficult coding, planning, and slower expert reasoning

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