Models

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

StepFun flash model for efficient multimodal reasoning, coding, and tool use

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

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

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

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

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

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

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

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

Low-latency M2.7 variant for interactive coding plans and agent loops

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

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

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

Nemotron multimodal model for visual reasoning and agentic AI workflows

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

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

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

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

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

Qwen instruction model for multilingual chat, reasoning, and tool use

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

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

Efficient Indian-language reasoning model for chat, coding, and multilingual work

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

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

Flagship ByteDance Seed 2.0 model for complex multimodal reasoning and long-horizon agent workflows

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

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

High-speed MiniMax model for low-latency coding and agent workflows

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

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

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

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

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