Models

Faster ByteDance Seed 2.1 model for multimodal reasoning and latency-sensitive agent workflows

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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

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

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

Newer StepFun flash model for faster agents, coding, and multimodal prompts

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

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

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

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

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

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

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

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

Chat-tuned GPT model for conversational assistance, writing, and tool workflows

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