Compare AI models

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

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

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

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

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 embedding model mapping text, images, video, audio, and PDFs into a unified embedding space

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

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

Agentic model for autonomous multi-step research, synthesis, and cited reports

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

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

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

Safety model for policy screening, moderation, and risk-aware routing workflows

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

Low-latency speech generation with steerable prompts and expressive audio tags

Vision-language model for embodied reasoning: spatial understanding, task planning, and physical-world agentic robotics

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

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

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

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

Reranking model for improving retrieval quality in search and recommendation systems

Video model for prompt-guided generation, editing, and motion workflows

High-quality, low-latency Live API model for real-time dialogue and voice-first AI applications

Music generation model for full-length songs from text or images with vocals and structure

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

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

MiMo omni model for text, image, video, audio, and 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