Plataforma de Modelos

Maior comunidade e plataforma de hospedagem de modelos de IA, com modelos open source e conjuntos de dados abundantes.

Plataforma de hospedagem e execução de modelos de IA na nuvem, implante APIs de modelos de código aberto com um clique.

Comunidade de modelos de IA da Alibaba, a maior do país, com a coleção mais completa de modelos em chinês.

Plataforma de inferência em nuvem para modelos de código aberto, execute rapidamente Llama, Qwen, DeepSeek e outros.

Plataforma de chip de inferência LPU, resposta de API ultrarrápida, créditos gratuitos generosos.

Gateway unificado de API para modelos de IA, integração e comparação de preços de mais de 200 modelos em um só lugar.

Serviço de modelo de IA, implantação com um clique + inferência de baixo custo

Plataforma de inferência de IA, latência ultrabaixa + múltiplos modelos

Plataforma de API de grandes modelos da série GLM, oferecendo serviços de chamada e ajuste fino de modelos

Plataforma de grandes modelos Baidu Wenxin, oferecendo capacidades de IA multimodal como NLP e CV

Gateway de IA de código aberto, unificando o formato de chamada de API de mais de 100 LLMs e gerenciamento de custos

Grande modelo cognitivo geral de 100 bilhões de parâmetros desenvolvido pela 360, com dez capacidades principais, totalmente integrado aos produtos 360 em todas as plataformas

Step 5 Preview is StepFun’s flagship AI model for agentic coding, professional knowledge work, and financial analysis. Built on a sparse Mixture-of-Experts architecture with 600B total parameters and 27B active per token, it combines a 1M-token context window with vision input. From building interactive applications and debugging code to conducting research and producing analytical reports, it supports complex workflows that require sustained reasoning, tool use, and iterative refinement.

GLM-5.3-FlashX is the high-speed serving option for Z.ai’s native multimodal coding model, featuring 320B total parameters, 18B activated parameters, and a 1M-token context window. Its efficient hybrid attention architecture supports visual coding, tool use, and end-to-end professional workflows across code, browsers, documents, and graphical interfaces.

Qwen3.8-Omni-Flash is Alibaba’s native multimodal model for understanding text, images, audio, and video and generating text. Built on Qwen3.8-Flash-Next, it supports a 1M-token context window, reasoning, and tool calling for coding, knowledge work, and multimedia analysis.

SVG generation model with agentic refinement and tool calling.

Higher-refinement Arrow 2 variant combining Arrow's speed with frontier-model reasoning.

Gemini 3.8 Live is Google's model for real-time audio conversations. It supports spoken interactions for developers building voice assistants, conversational experiences, and applications that respond to users through audio.

Gemini 3.8 Live Extended Thinking is Google's real-time audio model with extended thinking capabilities. It combines spoken interaction with additional reasoning for voice assistants and other conversational applications.

Jev is TypeSafe AI’s System One evaluation model for fast, structured decisions in software. It evaluates shared state against typed questions and returns choices, scores, and boolean probabilities, supporting classification, routing, rubric-based assessment, and automated verification. Multiple questions can be evaluated in parallel within a single request.

Our premier model for natural, expressive voice conversations with smooth interruption handling.

Fugu Max orchestrates our largest pool of models to push the cost–performance Pareto frontier. It dynamically finds efficient combinations of expert agents, aiming to improve model performance and cost efficiency together.

Fugu Ultra coordinates a deeper pool of expert agents to maximize answer quality on hard, high-stakes problems. Fugu Ultra focuses on maximizing performance, for a higher cost.

Mercury 2.5 is Inception’s diffusion-based reasoning model for chat, agents, and structured workflows, with tool calling, structured outputs, and a 260K context window.

Ling 3.0 Flash VL builds on Ling 3.0 Flash with stronger language capabilities, native visual perception, and visual agent capabilities. It supports text, image, and video inputs with text output, reasoning, and function calling.

Ling 3.0 Flash VL builds on Ling 3.0 Flash with stronger language capabilities, native visual perception, and visual agent capabilities. It supports text, image, and video inputs with text output, reasoning, and function calling.

GPT Image 2.5 Flare generates images from text and image inputs, optimized for fast, high-quality everyday image generation.

GPT Image 2.5 Sunburst generates and edits images from text and image inputs, with a focus on precise editing.

Grok 4.7 is SpaceXAI’s advanced AI model for coding and professional knowledge work, built to tackle complex, multi-hour tasks with improved self-verification and long-context handling. It strengthens software engineering, document creation, and presentation workflows while maintaining Grok 4.6’s speed and pricing.

MiMo V2.6 Flash is Xiaomi's efficient multimodal reasoning model for coding, automation, and everyday agent workflows. It accepts text, images, audio, and video within a 1M-token context window, with up to 128K tokens of output. Deep thinking, tool calling, JSON mode, and prompt caching make it suitable for applications that need multimodal understanding at a lower token cost.

MiMo V2.6 Pro is Xiaomi's flagship multimodal reasoning model for complex software engineering, long-running agent tasks, and professional workflows. It supports text, image, audio, and video inputs with a 1M-token context window and up to 128K tokens of output. Deep thinking, tool calling, JSON mode, and prompt caching support applications that combine large inputs with multi-step reasoning.

MiMo V2.6 Pro UltraSpeed is Xiaomi's accelerated inference offering for MiMo V2.6 Pro, designed for interactive agents and workflows where response latency matters. It combines multimodal understanding of text, images, audio, and video with a 1M-token context window and up to 128K tokens of output. It supports deep thinking, tool calling, JSON mode, and prompt caching.

Claude Opus 5.5 is a step-change improvement over Opus 5 for agentic coding, long-running agentic tasks, knowledge work, communication, and vision. It is more token-efficient per completed task and reports progress, findings, and next steps in clear language.

Claude Opus 5.5 is a step-change improvement over Opus 5 for agentic coding, long-running agentic tasks, knowledge work, communication, and vision. It is more token-efficient per completed task and reports progress, findings, and next steps in clear language.

GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume tasks. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools support cost-sensitive applications, coding tasks, and automated workflows.

GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume tasks. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools support cost-sensitive applications, coding tasks, and automated workflows.

GPT-6 Sol is OpenAI's reasoning model for complex coding and agentic workflows. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools make it suited to software development and multi-step automation.

GPT-6 Sol is OpenAI's reasoning model for complex coding and agentic workflows. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools make it suited to software development and multi-step automation.

Qwen 3.8 Max Prime is the high-speed edition of Qwen 3.8 Max, retaining its 2.4-trillion-parameter MoE architecture and full capabilities while delivering 1.5–2× higher output throughput. Built for coding, office automation, and long-running agent workflows, it supports autonomous multi-day development, professional knowledge work, and visual understanding with a 1M-token context window.

Gemini 3.8 Flash-Lite TTS is Google’s text-to-speech model optimized for high-volume, cost-efficient audio generation across more than 100 languages. It combines expressive speech with fine-grained control over tone, pacing, and line-by-line delivery, supporting long-form narration and native two-speaker conversations. Built for scale, it helps developers and creators power multilingual dubbing, audio content production, and expressive voice agents.

Gemini 3.8 Flash TTS is Google’s text-to-speech model for expressive voice generation and custom character design across more than 100 languages. It creates original voices from natural language prompts and offers granular control over acting cues, pacing, accents, and conversational reactions. Long-form audio and native two-speaker dialogue make it well suited to immersive audiobooks, games, podcasts, and interactive media

Recraft V4.1 Flash is a fast, low-cost model with quality close to Recraft V4.1, built for high-volume generation and rapid iteration. Strong use cases include photography, portraits, atmosphere, complex scenes, mixed media, and logo concepts.

Ember-1 is Fireworks’ research-preview reasoning model built on Kimi K3 for coding and agentic workflows. It supports image input, function calling, and a 1M-token context window. Fireworks reports approximately 40% fewer generated tokens while maintaining comparable quality across its evaluations, helping reduce the cost of workloads with extensive reasoning.

Pixel Canary is an anonymous large model with strong coding capabilities and adjustable reasoning effort. It is well suited to web and mobile app development, helping developers build and refine applications across both platforms. Prompts and outputs may be retained for training by the provider.

LongCat-2.5-Preview is Meituan’s multimodal reasoning model for coding and agentic workflows, with a 1M-token context window and support for text and image inputs. It combines image understanding, visual question answering, and content summarization with code generation, code understanding, and automated programming, and supports tool calling and optional thinking for complex tasks.

Claude Sonnet 5.5 is a step-change improvement over Sonnet 5 for well-scoped everyday work like building features, fixing bugs, and creating polished documents, slides, and spreadsheets. It also writes more clearly than Sonnet 5.

Ling 3.1 Flash is InclusionAI's hybrid reasoning language model for coding, multi-step analysis, and tool-using agents. It has 560B total parameters with 25B activated parameters and supports long-context text workflows.

Ling 3.1 Flash is InclusionAI's hybrid reasoning language model for coding, multi-step analysis, and tool-using agents. It has 560B total parameters with 25B activated parameters and supports long-context text workflows.

Liquid d1 is a decision model for classification, routing, and scoring. It evaluates shared state against typed Choice, Score, and yes/no questions and returns structured answers with calibrated probabilities through the TypeSafe-compatible System One API.

GPT-6.1 Sol is OpenAI's reasoning model for complex coding, computer use, and professional work. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools support multi-step workflows.

GPT-6.1 Sol is OpenAI's reasoning model for complex coding, computer use, and professional work. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools support multi-step workflows.

OpenAI model for reasoning, coding, computer use and research.