AI Foundation Models & LLM Specifications

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

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

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

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

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

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

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

Speech generation model for controllable voice, narration, and audio delivery

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

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

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

Faster GLM-5 lane for coding agents that need lower latency

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

Nemotron multimodal model for visual reasoning and agentic AI workflows

Convert text into spoken audio with a single API call. The API supports a rich set of expressive voices, inline speech tags for fine-grained delivery control, and output formats from high-fidelity MP3 to telephony-optimized μ-law.

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

Multimodal model for analyzing text, images, documents, and rich media

Grok model for agentic tool use, reasoning, coding, and live assistance

Reasoning Grok for document-heavy analysis and long-horizon tool use

Agent-ready GPT for coding and computer-use workflows at a lower cost

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks

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

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

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

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

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

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

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

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

Efficient open Liquid MoE instruct model for on-device chat and tool calling

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