Models

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total.

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes.

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes.

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net.

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net.

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model.

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters).

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B.

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games.

Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with…

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b.

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems.

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex…

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B.

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.