Models

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

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

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

Poolside's open-weight model for agentic coding and long-horizon work

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

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

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

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

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

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

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

Fast Grok coding model tuned for agentic engineering and iterative edits

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

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

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

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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