Models

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

Open Nemotron omni model combining reasoning with text, vision, and audio

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

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

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

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

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

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

Open multimodal Qwen MoE for local agents that need vision, audio, and code

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.

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

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

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

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

Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use

Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use

Smallest Qwen3.5 multimodal model for on-device chat, reasoning, and tool use

Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning

Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning

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

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

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

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

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

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

Fast Grok model for responsive chat, reasoning, and tool-assisted work

Fast Grok model for responsive chat, reasoning, and tool-assisted work

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

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

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

Multimodal reasoning model for visual analysis, planning, and tool use

Multimodal reasoning model for visual analysis, planning, and tool use

Preview Gemini flagship for complex reasoning, coding, and rich multimodal prompts

Nemotron multimodal model for visual reasoning and agentic AI workflows

ByteDance Seed model for long-context reasoning, instruction following, and tool-assisted tasks

Open vision-language MoE model for image and video understanding, documents, and visual agents

September 2025 preview of Gemini 2.5 Flash-Lite with better instruction following and multimodal quality

Multimodal reasoning model accepting text, images, video, and audio with text output

Low-latency ByteDance Seed model for high-throughput chat, extraction, and lightweight tool use

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