520 AI Models

Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.

NVIDIA Nemotron 3 Ultra is an open frontier reasoning and orchestration model featuring a 550B-parameter Mixture-of-Experts (MoE) architecture with 55B active parameters per token. Built on a hybrid Transformer–Mamba design, it supports text input and output with a 1M-token context window, enabling large-scale reasoning and long-horizon task execution. Optimized for agent orchestration, coding agents, deep research, and complex enterprise workflows, the model excels at multi-step reasoning, planning, and sustained execution. With high-throughput inference designed for large-scale agent pipelines, Nemotron 3 Ultra serves as a powerful foundation for advanced agentic AI systems.

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, designed for content moderation, safety classification, and AI policy enforcement. Supporting text and image inputs with text output, it evaluates both user prompts and model responses, providing safe/unsafe classifications, safety category labels, and optional reasoning traces. Fine-tuned from Gemma-3-4B and supporting 12 languages with a 128K-token context window, the model is well suited for prompt moderation, response filtering, content classification, and enterprise safety pipelines. As part of the NVIDIA Nemotron family, it offers a configurable reasoning mode and integrates easily into agentic AI systems requiring robust guardrails and compliance controls.

NVIDIA Nemotron 3 Nano Omni is an open 30B-A3B multimodal model designed as a perception and context sub-agent for enterprise agent systems. It supports text, image, video, and audio inputs with text output, enabling unified multimodal reasoning within a single inference loop. Built on a hybrid MoE Transformer–Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers significantly improved efficiency for video reasoning—achieving ~2× higher throughput and 2.5× lower compute compared to separate pipelines. With up to 300K context length and extended thinking support, it is well suited for scalable, multimodal agent workflows.

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid Mixture-of-Experts model designed for complex multi-agent and long-horizon reasoning workflows. It activates only 12B parameters per token, enabling high compute efficiency while maintaining strong accuracy on advanced tasks. Built on a hybrid Mamba–Transformer MoE architecture with multi-token prediction (MTP), the model delivers significantly higher token generation throughput than leading open models. It supports a 1M-token context window for long-context reasoning, cross-document analysis, and multi-step task planning. Trained with multi-environment reinforcement learning across diverse benchmarks—including AIME 2025, TerminalBench, and SWE-Bench Verified—Nemotron 3 Super achieves strong performance across reasoning and coding tasks. Released fully open with weights, datasets, and training recipes, it supports flexible customization and secure deployment from local workstations to cloud environments.

Molmo2-8B is an open vision-language model from AI2 that supports image, video, and multi-image understanding. Built on Qwen3-8B with a SigLIP 2 vision backbone, it excels at short-video tasks like counting and captioning while remaining competitive on long-video understanding, outperforming other open-weight, open-data models in its class.

Olmo 3.1 32B Think is a 32B-parameter reasoning model built for complex, multi-step logic and advanced instruction following. It improves on earlier Olmo versions with stronger performance on difficult tasks and more refined reasoning. Released by AI2 under Apache 2.0, it remains fully open, with transparent weights, code, and training process.

NVIDIA Nemotron 3 Nano 30B A3B is a 30B-parameter MoE model optimized for highly efficient, accurate agent-style AI systems. It’s fully open — with weights, data, and training recipes available — so developers can customize and deploy it privately on their own infrastructure. (Free trial endpoints log usage and aren’t intended for sensitive or production workloads.)

NVIDIA Nemotron Nano 2 VL is a 12B open multimodal reasoning model built for video understanding and document intelligence. Using a hybrid Transformer-Mamba design, it delivers high accuracy with lower latency and higher throughput. It handles text and multi-image inputs, excels at OCR, chart and document reasoning, and achieves leading benchmark results across major multimodal tests — including strong performance on long videos via Efficient Video Sampling. Open weights, data, and recipes are available under NVIDIA's permissive license, with broad deployment support across NeMo, NIM, and common runtimes.

NVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.

Gemma 3n 2B (Free) by Google. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Mistral Small 3.2 24B (Free) by Mistral AI. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Devstral Small (Free) by Mistral AI. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Phi 4 Reasoning Plus (Free) by Microsoft. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Phi 4 Reasoning (Free) by Microsoft. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Qwen3 0.6B (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Qwen3 1.7B (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Qwen3 30B A3B (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Qwen3 8B (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

MAI DS R1 (Free) by Microsoft. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Kimi VL A3B Thinking (Free) by Moonshot AI. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 Nemotron Nano 8B v1 (Free) by NVIDIA. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 Nemotron Ultra 253B v1 (Free) by NVIDIA. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Qwen2.5 VL 32B Instruct (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Gemma 3 12B (Free) by Google. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Gemma 3 4B (Free) by Google. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Gemma 3 27B (Free) by Google. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

DeepSeek R1 Distill Qwen 32B (Free) by DeepSeek. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

DeepSeek R1 Distill Qwen 14B (Free) by DeepSeek. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

DeepSeek V3 (Free) by DeepSeek. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.3 70B Instruct (Free) by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

QwQ 32B Preview (Free) by Alibaba. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 3B Instruct (Free) by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 1B Instruct (Free) by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 11B Vision Instruct (Free) by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Mistral 7B Instruct (Free) by Mistral AI. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 8B Instruct (Free) by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.