Compare AI models

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

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

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

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

Code-specialist GPT for repository edits, reviews, and long-running software agents

Higher-accuracy GPT-5.2 variant for tougher reasoning and review workflows

Reliable GPT generation for broad coding, writing, and tool-assisted product work

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

GLM vision model for visual reasoning, documents, and multimodal agents

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

Flagship Claude model for deep reasoning, coding, and long-horizon agents

Nano Banana Pro for higher-fidelity image generation and design-heavy edits